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Location: United States; Canada Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product. You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth. This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem. _______________________________________________________________________ RESPONSIBILITIES - Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure - Support and help implement key security programs such as automated security design reviews, and vulnerability management - Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams - Partner with engineering to design and implement security architecture and controls across Docker products and platforms - Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services - Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure - Build and maintain offensive security tooling and automation to expand testing coverage and repeatability - Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits - Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts - Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices - Participate in Security Incident response _______________________________________________________________________ QUALIFICATIONS - Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure - Possess 2+ years of hands-on development experience in Python or Golang - Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles. - Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure) - Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners - Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks - Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product - Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks - Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows - Have a track record of building security programs and automations from scratch, applying risk-based prioritization - Have experience performing security reviews and building or improving security review automation - Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders - Understand industry standards, and actively keep up with emerging security technologies and models - Are a team player who drives security change via collaboration and cross-functional partnerships - Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO - Have published CVEs, original security research, or conference talks Bonus if you: - Have experience with container escape, Kubernetes attack paths, or cloud red teaming - Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS: - Meet with security team and key partners across engineering - Gain access to team owned systems, and internal documentation - Complete security awareness training and compliance onboarding - Review application architecture, tech stack and data flow - Review risk registry and annual roadmap - Familiarize oneself with team workflows and processes - Shadow a fellow security engineer during their on-call/secops rotations FIRST 90 DAYS: - Conduct security review on emerging Docker products - Scope and execute your first penetration test against a Docker product or service - Actively participate in architecture design reviews with the team - Contribute to a Security-owned project or initiative - Collaborate with Docker developers to validate and resolve discovered vulnerabilities - Enhance incident response capabilities by participating in on-call rotation and post-incident activities - Create and maintain security documentation and runbooks FIRST YEAR OUTLOOK - Contribute to the security roadmap for improving security controls - Strengthen Zero Trust architecture and least privilege access controls - Enhance security monitoring and anomaly detection - Perform security reviews for major product releases - Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers - Support audits and ensure compliance with SOC 2, ISO 27xxx - Advocate for “security by design” in all product features - Become well versed in Docker products and emerging AI technologies Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$271,150 – CA$434,000 base United States: $194,150 – $312,950 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Utah | Remote Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties BambooHR is on a mission to set people free to do great work. Our software powers the HR work that small and mid-sized businesses depend on every day. We're looking for software engineers who use AI to build production-quality software. As a Staff Agentic Software Engineer, you own the technical direction of a product area and the patterns multiple teams build on. You define how engineers across teams specify, delegate, and verify agentic work, and you set the standards that keep that work safe at scale. AI tools and capabilities change rapidly. To stay resilient through change, you prioritize curiosity and continual learning, and you actively apply new best practices. You are accountable for the technical direction of your product area: the reusable patterns teams adopt, the verification practice that keeps agent-produced work safe, and the leverage that direction creates across teams. What You'll Do Your work runs through four loops, each building on the last: specifying intent, delegating execution to agents, verifying and integrating their output, and codifying best practices and processes to compound value. Own the technical direction of a product area, setting how multiple teams specify, delegate, and verify agentic work. Define the standard for specification quality across teams: what a complete specification contains and what review gates enforce it. Establish the framework for when work warrants agentic execution and when it needs direct implementation, building heuristics that raise the floor for every team. Drive large-scale efforts by coordinating human and agentic contributors across multiple teams to deliver more than any one team could. Set the verification practice that keeps agent-produced work safe at scale, calibrated to risk and blast radius. Set the security architecture for agentic work across the product area, partnering with security to implement it: the data-flow boundaries, access controls, and threat models agents operate within. Establish the readiness criteria a product area must meet before agentic work is safe to delegate: the context, guardrails, and observability that must be in place. Build the scaffolding that teams delegate through: prompts, agent instructions, repo conventions, test harnesses, and playbooks. Resolve the highest-risk technical decisions across the product area, where the stakes or the blast radius are greatest. Partner with product leadership to shape what gets built across the product area, bringing engineering judgment into roadmap direction. Raise the agentic craft of engineers across teams, mentoring on how they specify, delegate, and verify. What You'll Need to get the Job done You will need depth in these areas to set technical direction, standardize practice across teams, and raise the engineers who deliver. 8+ years of software engineering experience, with a record of building and shipping customer-facing software in production and ownership of technical direction across a product area. Track record of setting agent patterns and AI-powered solutions that multiple teams reuse. Depth in designing systems, data models, and architecture that teams build on, including performance and data-flow tradeoffs. Demonstrated ability to define specification standards across teams: what complete looks like and how review gates enforce it. Command of context engineering: setting how repo and task context is structured so agents execute reliably across teams. Proven ability to design agent workflows for parallel execution across teams, with human checkpoints throughout. Confidence reading unfamiliar code and running root-cause analysis to debug it. Track record of setting the security and privacy review bar: injection, data-handling, and unsafe generated output. Fluency setting test design and evaluation standards that teams follow. Sound judgment coordinating version control at multi-team scale: branching, reviewing, and integrating concurrent changes safely. Skill in defining safe release standards: CI/CD, feature flags, staged rollout, and rollback. Experience operating and maintaining software in production with observability, metrics, traces, and incident response. Proven ability to mentor engineers across teams and shape technical direction beyond a single team. Strong written and verbal communication, including synthesizing technical strategy and tradeoffs for leadership and across teams. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior RF Engineer on the WHOOP Hardware team, you will support the development, integration, validation, and delivery of the wireless systems that power WHOOP's wearable products. Working closely with Electrical, Firmware, Mechanical, Manufacturing, and Product teams, you will independently drive RF development and validation activities from early prototypes through production. WHOOP products rely on highly integrated wireless systems operating within compact and challenging wearable form factors. You will bring strong hands-on RF test and debugging experience to characterize system performance, identify root causes of wireless issues, develop robust validation methodologies, and ensure designs meet performance, regulatory, and manufacturing requirements.   RESPONSIBILITIES - Own RF system characterization, validation, and debugging from early prototypes through production. - Define validation plans, test methods, and acceptance criteria for conducted, radiated, and system-level wireless performance. - Characterize transmitter, receiver, antenna, coexistence, interference, desense, and OTA performance, including return loss, antenna efficiency, TRP/TIS, and on-body performance as applicable. - Develop repeatable test setups, fixtures, scripts, and automated measurement methods to improve validation coverage, efficiency, and data quality. - Analyze RF performance data, identify failure modes and root causes, and drive corrective actions with Electrical, Firmware, Mechanical, and Manufacturing teams. - Guide RF-critical schematic and PCB design, including matching networks, grounding, shielding, routing, component selection, and antenna integration. - Apply RF circuit, electromagnetic, and system analysis using tools such as CST, HFSS, MATLAB, Python, or similar tools. - Establish production test methods, limits, and correlation studies while supporting manufacturing troubleshooting and wireless regulatory certification. - Advance next-generation RF architectures, antenna technologies, validation methods, and manufacturing techniques while communicating technical risks and recommendations across engineering teams. - Travel up to 15%, domestically and internationally. QUALIFICATIONS - BS or higher in Electrical Engineering or related field. - 5+ years of relevant RF or wireless engineering experience. - Demonstrated expertise in RF system characterization, validation, debugging, and root-cause analysis. - Background in conducted and radiated wireless testing, including transmitter performance, receiver sensitivity, antenna performance, coexistence, and desense. - Hands-on proficiency with RF lab equipment, including spectrum analyzers, signal generators, VNAs, oscilloscopes, wireless communication testers, and calibration tools. - Familiarity with antenna and OTA measurements, including return loss, efficiency, radiation performance, TRP, and TIS. - Strong command of RF and electrical engineering principles, including impedance matching, transmission lines, circuit design, PCB layout, grounding, shielding, and antenna integration. - Working knowledge of RF test automation, data analysis, or electromagnetic simulation using tools such as Python, MATLAB, LabVIEW, CST, or HFSS. - Excellent communication skills, with experience supporting product validation, manufacturing, and wireless regulatory certification. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role You'll be the business partner and own searches end to end, from shaping the role with the hiring manager to sourcing, assessing, closing and handing off a great start. You'll move between technical and non-technical roles, so one week might be infrastructure engineers and the next might be finance, legal or GTM. fal is deliberately flat and moves extremely fast. We need someone who can take a search, decide how to win it and run with it. What you'll do - Own searches end to end: intake, strategy, sourcing, screening, interview process, offer and close, across engineering, research, GTM, finance, legal and operations - Advise the business: push back on role design, set realistic expectations with market data, and tell hiring managers what the talent market will and won't give them. Your read on candidates should shape hiring decisions - Find the non-obvious people: go past the obvious LinkedIn searches to find strong candidates others overlook, like adjacent backgrounds, under-the-radar builders and people who aren't looking yet - Source relentlessly: build pipelines through direct outreach, referrals, communities, events and AI sourcing tools. You write outreach people actually answer - Close: share fal's story, understand what each candidate actually cares about, run comp conversations and get offers signed - Raise the bar: help calibrate interview loops and screens so we hire for high agency and independent thinking, not just a strong résumé - Build as you go: improve processes, templates and reporting in Ashby, and use AI tools to automate the repetitive parts of recruiting Qualifications/Nice to have: - 5+ years of full-cycle recruiting, with meaningful time in-house at a high-growth startup - A track record across both technical roles (engineering, infrastructure, ML) and non-technical roles (GTM, finance, legal, ops). You can go deep on a technical search and switch to a legal or finance search the same afternoon - A strong sourcer. You can point to hires you found who weren't applying - A trusted advisor to senior leaders. You're comfortable disagreeing with a hiring manager and bringing data to back it up - Strong closer, comfortable owning offer and comp conversations - High agency. You can run a search without anyone managing you and you don't wait for direction - Genuinely excited about AI and generative media, and wants to help build the company shaping it - Experience at an AI, infrastructure or developer-tools company - Experience hiring early or first-of-kind roles where the profile has to be figured out - Comfortable with Ashby, and with AI sourcing and automation tools COMPENSATION: - $160,000-200,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: London, England Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... The Duolingo English Test (DET) is a high-stakes assessment used by institutions around the world. Its integrity depends on proctors making accurate, consistent, and defensible decisions — even when sessions present ambiguous evidence or new forms of cheating. As the Proctor Quality and Learning Manager (L3) in Scaling Operations, you will own the end-to-end quality standard and learning system that keep our global proctor network aligned and effective as security threats, technology, and workflows evolve. You’ll define what “correct” looks like, run our calibration and adjudication program, and build ongoing training that measurably improves decision quality. You will partner with Psychometrics, Security, Operations, Product, and Engineering to ensure our human and AI-assisted workflows meet rigorous accuracy standards before and after deployment. This is an individual-contributor role within DET Proctoring Operations, with functional leadership over Training Specialists and adjudicators executing the program. 🧠  You will... Own the DET proctoring quality standard — maintain rubrics, decision rules, examples, and guidance that define accurate decisions across routine and difficult edge cases. Lead calibration and adjudication — operate recurring Proctor Certification Test cycles, resolve disputed decisions, identify patterns of disagreement, and ensure outcomes are consistent and auditable. Build and run an ongoing learning program — publish a forward-looking training calendar, deliver monthly interventions, and launch targeted training in response to quality signals, threats, or workflow changes. Measure effectiveness — use calibration results, audits, and performance trends to identify learning needs, evaluate training impact, and decide when to clarify standards, retrain, or update guidance. Guide specialist execution — set expectations for Training Specialists and adjudicators, assign deliverables, review outputs, and operate onboarding and certification that ramp new specialists quickly. Maintain durable sources of truth — keep calibration, adjudication, and training runbooks current so critical processes are documented and auditable. Evolve quality alongside proctoring — translate new threats and workflow changes into clear standards, training, and quality controls in partnership with Psychometrics, Security, Operations, Product, and Engineering. Represent the proctoring craft — bring frontline proctor evidence into product experiments and workflow decisions; assess whether launched changes preserve decision quality. Connect human and technology-assisted quality — establish benchmarks for AI-assisted workflows and validate automated capabilities against real sessions before deployment. ✅  You have... 5+ years in assessment development, scoring/rater quality, certification, quality assurance, or a field involving complex, consequential judgments; experience aligning reviewers to a shared standard through calibration programs. Adult-learning program experience spanning onboarding, certification, ongoing training, remediation, and effectiveness measurement (beyond one-off materials). Exceptional attention to detail and strong judgment in ambiguous cases; ability to produce clear, defensible decisions and guidance. Analytical fluency to interpret quality data, disagreement patterns, and performance trends and translate them into practical interventions. Clear written and verbal communication; ability to turn complex standards into precise, usable guidance and explain difficult calls. Cross-functional leadership without formal authority; experience directing contractors or partners toward clear accountability and outcomes. Demonstrated skill in quality standards and rubric design, building living systems with decision logs, change histories, and controls for auditability. Experience defining quality benchmarks and validation methods for human–technology workflows, including AI-assisted processes. Adaptability — comfort revising standards and programs as risks, products, and technology change. ⭐  Exceptional candidates will have... Experience in language assessment, test security, remote proctoring, trust and safety, or fraud prevention in high-integrity environments. Experience maintaining quality across large, distributed examiner/rater/reviewer/contractor populations. Familiarity with assessment concepts such as inter-rater agreement, reliability, standardization, and performance monitoring. Experience designing quality systems that span human judgment and technology-assisted workflows. Familiarity with learning-management systems, assessment platforms, quality-audit tools, or operational analytics. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: £90,630 — £122,617 GBP Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... The Duolingo English Test (DET) is a high-stakes assessment used by institutions around the world. Its integrity depends on proctors making accurate, consistent, and defensible decisions — even when sessions present ambiguous evidence or new forms of cheating. As the Proctor Quality and Learning Manager (L3) in Scaling Operations, you will own the end-to-end quality standard and learning system that keep our global proctor network aligned and effective as security threats, technology, and workflows evolve. You’ll define what “correct” looks like, run our calibration and adjudication program, and build ongoing training that measurably improves decision quality. You will partner with Psychometrics, Security, Operations, Product, and Engineering to ensure our human and AI-assisted workflows meet rigorous accuracy standards before and after deployment. This is an individual-contributor role within DET Proctoring Operations, with functional leadership over Training Specialists and adjudicators executing the program. 🧠  You will... Own the DET proctoring quality standard — maintain rubrics, decision rules, examples, and guidance that define accurate decisions across routine and difficult edge cases. Lead calibration and adjudication — operate recurring Proctor Certification Test cycles, resolve disputed decisions, identify patterns of disagreement, and ensure outcomes are consistent and auditable. Build and run an ongoing learning program — publish a forward-looking training calendar, deliver monthly interventions, and launch targeted training in response to quality signals, threats, or workflow changes. Measure effectiveness — use calibration results, audits, and performance trends to identify learning needs, evaluate training impact, and decide when to clarify standards, retrain, or update guidance. Guide specialist execution — set expectations for Training Specialists and adjudicators, assign deliverables, review outputs, and operate onboarding and certification that ramp new specialists quickly. Maintain durable sources of truth — keep calibration, adjudication, and training runbooks current so critical processes are documented and auditable. Evolve quality alongside proctoring — translate new threats and workflow changes into clear standards, training, and quality controls in partnership with Psychometrics, Security, Operations, Product, and Engineering. Represent the proctoring craft — bring frontline proctor evidence into product experiments and workflow decisions; assess whether launched changes preserve decision quality. Connect human and technology-assisted quality — establish benchmarks for AI-assisted workflows and validate automated capabilities against real sessions before deployment. ✅  You have... 5+ years in assessment development, scoring/rater quality, certification, quality assurance, or a field involving complex, consequential judgments; experience aligning reviewers to a shared standard through calibration programs. Adult-learning program experience spanning onboarding, certification, ongoing training, remediation, and effectiveness measurement (beyond one-off materials). Exceptional attention to detail and strong judgment in ambiguous cases; ability to produce clear, defensible decisions and guidance. Analytical fluency to interpret quality data, disagreement patterns, and performance trends and translate them into practical interventions. Clear written and verbal communication; ability to turn complex standards into precise, usable guidance and explain difficult calls. Cross-functional leadership without formal authority; experience directing contractors or partners toward clear accountability and outcomes. Demonstrated skill in quality standards and rubric design, building living systems with decision logs, change histories, and controls for auditability. Experience defining quality benchmarks and validation methods for human–technology workflows, including AI-assisted processes. Adaptability — comfort revising standards and programs as risks, products, and technology change. ⭐  Exceptional candidates will have... Experience in language assessment, test security, remote proctoring, trust and safety, or fraud prevention in high-integrity environments. Experience maintaining quality across large, distributed examiner/rater/reviewer/contractor populations. Familiarity with assessment concepts such as inter-rater agreement, reliability, standardization, and performance monitoring. Experience designing quality systems that span human judgment and technology-assisted workflows. Familiarity with learning-management systems, assessment platforms, quality-audit tools, or operational analytics. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $142,800 — $193,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: United States; Vancouver, Canada Our client, a global leader in Earth-observation satellites, is hiring a Staff Systems Engineer for its Synthetic Aperture Radar (SAR) missions. Fully remote from the US is fine for the first couple of years; relocation to the Vancouver, BC area later is optional, not required. What you will do • End-to-end oversight of SAR engineering across the full lifecycle of a SAR space mission • Own the mission concept of operations and high-level mission specs, including spacecraft budgets that drive the SAR payload • Lead technical solutions for current and future SAR missions: beam mode design, mission concept design, SAR image quality modelling • Lead mission-level risk management, integration, verification and validation • Run design trade-offs across spacecraft systems, coverage and access, SAR payload, SAR processor and end-user applications • Own the SAR side of commissioning, calibration and early operations • Advise senior management and new business; mentor the team What you need • Graduate degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent experience) • 15+ years with radar, SAR or similar active imaging systems (hardware, processors and/or data products) • 10+ years in a space systems engineering or similar complex systems environment • SAR remote sensing experience: system design, operation, applications/exploitation and/or calibration • Strong communicator across technical, sales, executive and customer audiences • US citizen or permanent resident (export-control and Controlled Goods requirements) Nice to have : MATLAB, Python; satellite SAR payload design and operations; space mission design (coverage and access, orbital dynamics); spacecraft design (thermal, power, pointing); geospatial data.

Location: Vancouver, Canada; United States What you will do • Contribute end-to-end to SAR engineering across the full lifecycle of a SAR space mission • Contribute to the mission concept of operations and high-level mission specs, including spacecraft budgets for the SAR payload • Lead technical solutions for mission enhancements: beam mode design, mission concept design, image quality modelling • Take part in mission-level risk management, integration, verification and validation • Own design trade-offs across spacecraft systems, coverage and access, SAR payload, SAR processor and end-user applications • Key member of the team through commissioning, calibration and early operations; mentor others What you need • Graduate degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent) • 10+ years with radar, SAR or similar active imaging systems (hardware, processors and/or data products) • 5+ years in a space systems engineering or similar complex systems environment • SAR remote sensing experience: system design, operation, applications/exploitation and/or calibration • Strong communicator • US citizen or permanent resident Nice to have : MATLAB, Python; satellite SAR payload design and operations; space mission design; spacecraft design; geospatial data.

Location: Vancouver, Canada; United States Our client is hiring a Staff-level engineer to lead a highly specialized team building cutting-edge, high-throughput signal processing systems that turn raw satellite radar data into SAR imagery, deployed on the ground and potentially on board spacecraft. Fully remote from the US; optional relocation to Vancouver later. What you will do • Lead the definition, specification, technical risk management, integration, verification and validation of SAR processors, new and existing • Supervise interface control document development; ensure hardware and software components integrate into the larger ground or space segment • Coordinate trade-offs between theoretical algorithms and their implementation on the actual processor • Troubleshoot root causes of processing errors and artefacts in image products and find mitigations; optimize processing time toward near-real-time • Take part in mission design trade-off studies; mentor the team; advise senior management and new business pursuits What you need • Degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent) • 12+ years in an engineering environment, including 5+ years on complex signal processing systems (radar, medical imaging, computer vision or similar) and 10+ years in a large product development or systems engineering environment • Solid grounding in high-speed, high-throughput data analysis and transmission design • MATLAB, Python or C++ • Clear communicator to technical, sales, executive and customer audiences • US citizen or permanent resident Nice to have : SAR remote sensing (system design, operation, exploitation, calibration); satellite SAR payload design and operations; FPGA or ASIC based system design; geospatial data.

Location: Paris Workplace: OnSite Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Then Pennylane is the right place for you !   Our vision We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.   About us Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)   In 5 years of existence, we’ve managed to : 💻 Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants 💰 Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more... 👨‍👩‍👧‍👦 Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor https://www.glassdoor.fr/Avis/Pennylane-France-Avis-E4171708.htm. 🌍 Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe 🤝 Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings https://www.google.com/search?q=pennylane&ei=O9pOYvm0Co-blwSmhKmIAw&ved=0ahUKEwi5vsWL-4H3AhWPzYUKHSZCCjEQ4dUDCA4&uact=5&oq=pennylane&gs_lcp=Cgdnd3Mtd2l6EAMyDQgAEIAEELEDEIMBEAoyCwguEIAEEMcBEK8BMgcIABCABBAKMgcIABCABBAKMgUIABCABDIFCAAQgAQyBQgAEIAEMgcIABCABBAKMgcIABCABBAKMgcIABCABBAKOgcIABBHELADOgkIABCwAxAKEEM6CgguEMcBEK8BEAo6BggAEBYQHjoICAAQFhAKEB46DQguEIAEEMcBEK8BEApKBAhBGABKBAhGGABQ7QFY6wVgugdoAXABeACAAUiIAbMCkgEBNZgBAKABAcgBCcABAQ&sclient=gws-wiz 🚀 Already more than 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!   In 2024, we implemented an organizational structure built around business 'tracks'. This approach integrates key stakeholders across marketing, sales, product, and customer care into unified teams focused on specific product lines or client segments. Each track operates as a mini-business, empowered with dedicated resources (e.g., product marketing, data analytics, and operational support) and direct accountability for performance.     Why this role matters at Pennylane   As Chief of Staff to the CTO, you operate as a senior leader in the Tech organisation. Your leverage does not come from managing teams but from owning the hardest problems that sit between them, and from being technical enough to earn the trust of the other engineering leaders. You are the person the CTO trusts with ambiguous, org-wide problems. You turn that ambiguity into a clear framing, a decision, an owner and a measurable outcome. This is not a coordination role. You are expected to have opinions on engineering strategy, staffing choices and technical trade-offs, and to defend them in front of the Tech leadership team.   Team and Context Pennylane's Tech organisation is 70+ squads, each led by an Engineering Manager working with a PM and a Product Designer. We serve 1.5m+ customers and we want to scale in Europe. At that size, the hard problems are no longer inside a squad: how the organisation plans, how it decides, how it measures itself, how it invests in foundations without stalling product delivery. That is your perimeter. You report directly to Quentin, Co-founder & CTO. Your influence comes from the scope of what you own and from credibility with senior engineering leaders, which is why we ask for a technical background. As the organisation grows, this role can evolve towards a management position. Key missions Engineering strategy and transversal initiatives - Own the strategic, cross-organization initiatives that no single squad can carry: platform or architecture programmes, reliability and quality step-changes, engineering productivity, technical debt paydown - Frame the problem, build the technical and business case, secure alignment across Engineering, Product and Security to drive execution - Lead the Tech side of company-level programmes (e.g. European expansion, major compliance or infrastructure shifts) alongside the rest of the Tech leadership Planning & Performance tracking - Own the Tech planning cycle: collect the inputs, surface the trade-offs (capacity vs. platform, run vs. new bets), and drive the arbitration with Tech leadership - Drive the definition and calibration of Tech OKRs, and hold the organisation accountable - Define what "good" looks like for a 70+ squad engineering organization and build the metrics that measure it (delivery cadence, reliability, quality, staffing and attrition, engineering satisfaction) Decision-making and leadership cadence - Own the Tech leadership operating system: staff meetings, QBRs, roadmap and architecture reviews. You design them, set the agenda, write or commission the pre-reads, frame the decisions to be made, and make sure decisions land - Maintain the CTO's decision log: what was decided, by whom, with what trade-off, and what happened next - Raise the quality of decision-making across the Tech leadership team Communication - Lead internal and operational communications across the engineering organization, building clear messaging systems from board decks down to team-wide updates Who you’ll work with? - CTO and Tech leadership (Head of Engineering / Head of Data / Senior Engineering Managers) - Rest of the leadership (CPO, VP Strategic Initiatives) - Other relevant teams (e.g. Security, Finance, People) Who we’re looking for Must-have - An engineering degree (engineering, computer science or equivalent scientific curriculum) - Technical fluency: you can read a design doc, follow an architecture discussion, challenge an estimate or a trade-off, and be taken seriously by senior engineers - 7-10 years of experience, including significant time inside a tech organisation at scale (multiple squads, platform teams), where you have lived the problems of scaling engineering - A track record of owning complex, cross-organisational initiatives from framing to measurable outcome with senior stakeholders - Outstanding written communication: this role produces documents that senior people act on - Fluency in English Nice-to-have - A hands-on engineering past: software engineer, engineering manager, Technical Program Manager, architect or equivalent - Experience as a Chief of Staff, VP/Director of Engineering Operations, or in a strategy & operations function inside a product-led tech company What you can expect? Within one month - You'll complete the company and Tech onboarding, including our application, accounting domain and engineering practices - You'll have met the Tech leadership team and formed your own view of where the organisation loses time, quality or alignment - You'll have taken ownership of the leadership cadence and the next planning milestone Within 3-6 months - You'll be leading selected org-wide strategic initiatives end-to-end, with a measurable target - The Tech organisation will have a metrics picture it trusts and uses to make decisions - You'll be a recognised voice in the senior tech community at Pennylane, consulted on decisions rather than just informed of them - You'll be shaping the engineering narrative that the rest of the company and the board hear Recruitment Process - Screening interview with Barbara - Senior Recruiter (30 mins) - An interview with Eric - VP Strategic Initiatives (1h) - A Business Case to prepare at home and to present (1h) - A final interview with Quentin - CTO (45 mins) What do we do to make your work life easier   🌴 Wherever you are based, you will get 25 vacations days paid by Pennylane 💵 You’ll have a competitive compensation package 📈 You'll get company shares to enjoy a piece of the success story you're building with us 🏡 You’ll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it ⛹️ Through our partner Gymlib, you’ll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness 🇬🇧 You’ll have access to Busuu https://www.busuu.com/fr/p/start-learning?utm_medium=cpc&utm_source=google&utm_campaign=FR_FR_Web_Brand_E&utm_group=FR_FR_Web_Brand_E&utm_term=busuu&gclid=CjwKCAjw682TBhATEiwA9crl34OqnbJDliinEXFZNqOcb6391KXrgq4ZDDwEiwMdtTdtuVULvuF7HhoCgZEQAvD_BwE&gclsrc=aw.ds to perfect your English or your French 💻 You’ll get the latest Apple equipment 🏢 Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone 🎉 We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.   If you are based in France, you will have a French contract following French regulation on top of the additional perks : 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes…) We're working on providing those last advantages to our people based outside of France as well, but it can be quite more complex depending on different countries.   Who are we looking for ? To thrive at Pennylane, you need : -To speak English (level is assessed and appreciated according to the department you’re applying to) -To be energized by an ever-shifting work environment -To be highly collaborative (within your team or other stakeholders) -Sufficiently experienced to prioritize business-led actions on your day to day activity   We know that some people are less likely to apply than others, if they don’t feel like they meet the full list of criteria. If you’re hesitating, we encourage you to apply : who knows, it might be the start of a meaningful and long-lasting collaboration.   Important information for candidates Recruitment scam attempts are on the rise. We invite you to remain vigilant during your exchanges. Applications through official channels only : apply exclusively through our job postings published on our official platforms (career site, official partner pages). Always verify the sender's email address: our communications are sent from professional email addresses with the domains @pennylane.com or @pennylane-partners.com We will never ask you for payment or financial information (bank details, payment for an interview, equipment purchases, etc.) as part of the recruitment process. If such a request is made to you, it is fraudulent. We invite you to not respond and to report it to us immediately.   We also want to emphasize that we fully embrace diversity, equity and inclusion and that we’re doing our best to create a safe and inclusive environment. We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at. 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement

Задачи: — Развивать модели прогнозирования спроса и ценовой эластичности; — Исследовать подходы к causal inference, uplift-моделированию и оценки эффекта изменения цены; — Проектировать временную валидацию, backtesting и бизнес-метрики качества; — Работать с uncertainty, confidence, intermittent demand, cold start и long-tail SKU; — Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений; — Организовать оценку plan/fact и мониторинг качества моделей; — Участвовать в проектировании feature engineering, batch training и batch inference на больших объёмах данных; — Проводить design review, code review и менторить ML-специалистов команды. Требования: — Опыт в классическом ML от 3 лет; — Сильная база в классическом ML, статистике и работе с табличными данными; — Опыт с forecasting, временными рядами и gradient boosting: LightGBM, CatBoost или XGBoost; — Понимание causal inference и экспериментального дизайна; — Опыт доведения ML-моделей до production; — Уверенное владение Python и SQL; — Понимание временной валидации, data leakage, calibration и uncertainty estimation; — Опыт работы с Airflow или аналогичным оркестратором; — Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений; — Умение связывать ML-метрики с измеримым бизнес-эффектом; — Опыт в retail, e-commerce, pricing или demand forecasting; — Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse; — Опыт с price optimization, hierarchical forecasting или operations research; — Опыт построения ML-мониторинга и проведения A/B-тестов. Условия: — Занятость full-time — Формат работы: удалённая, гибридная или офис (Москва, Краснодар)

Location: Quebec Workplace: onsite (Version française ci-dessous) Game Engine QA  With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Game Engine QA to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities: Perform all kinds of manual testing Closely assist the programming team with testing specific changes before code is submitted to the main developer branches Write new and maintain existing automated tests (Python/Pytest and Lua) Follow priorities set by the QA Lead to ensure team-wide goals are met Test and help improve our production pipelines and tools Act as the first point of contact for the production team on technical issues Requirements:  Experience in programming and/or scripting Familiarity working with game engines Background using Perforce or other version control systems Good judgment in estimating the significance and consequences of bugs A rigorous, methodical, and resourceful approach to your work Self-disciplined, with strong self-learning skills Good communication skills, spoken and written, in English Passion for video games Desire to build a long-term career in QA Nice To Haves

Location: Bengaluru, India We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle. AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance. You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services. This position is intended for Hyderabad-based candidates who are available to work from the office. The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready. Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle. Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review. Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel. Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo. Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift. Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows. Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites. Validate deep-learning, reinforcement-learning, and predictive models using LangChain. Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction. Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python. Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery. Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback. Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage. Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails. Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures. Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform. Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure. Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope. Contribute to release readiness for the assigned product area without owning sign-off for the whole team. Strong Python proficiency with pytest for test and evaluation automation. Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks. Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools. Hands-on use of Cursor or agentic development tools for test generation and maintenance. Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift. Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain. Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction. Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python. Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations. Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion. Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools. Experience testing AI security, privacy, access control, and guardrails. Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures. Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools. Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions. Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Experience managing defects through resolution in Jira or an equivalent tool. Ability to work with domain experts, product, and engineering on ground truth and coverage gaps. Experience contributing to release readiness for an assigned product area. Playwright and TypeScript experience for UI and API automation. Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform. Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform. Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows. Experience managing test data and troubleshooting test environments needed for reliable execution. Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls. Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.

Location: Dubai, United Arab Emirates Mira Group is seeking an exceptional Head of Legal to lead the Group’s legal function and provide strategic, commercially focused legal leadership across its businesses and development activities. This is a senior leadership position for a high-calibre lawyer with significant development experience , ideally someone who has worked closely with real estate, property development, construction, investment, joint ventures, acquisitions, financing and complex commercial transactions. The successful candidate will not simply act as a legal adviser. They will be expected to operate as a business partner to the leadership team , identify legal and commercial risks early, structure transactions effectively, protect the Group’s interests and build a scalable legal function. Key Responsibilities Lead all legal matters relating to real estate development and investment. Advise on land acquisitions, development structures, JVs, investments and financing. Lead negotiation of major development, construction and commercial agreements. Manage legal due diligence for acquisitions and investments. Oversee disputes, claims and external legal counsel. Advise the CEO, Board and senior management on legal and commercial risks. Build and lead an effective in-house legal function. Establish strong legal governance, contracts and risk-management processes. Requirements Strong, hands-on real estate development experience is essential. Proven experience with major development projects, acquisitions, JVs and investments. Strong construction and commercial contracting experience. Experience handling complex negotiations and disputes. UAE/GCC experience strongly preferred. Proven ability to advise CEOs, Boards, shareholders and investors. Strong leadership, negotiation and commercial judgement. Excellent English; Arabic is an advantage. Qualified lawyer with a recognised legal qualification/bar admission. Benefits Competitive salary Career growth opportunities Supportive work environment

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL STRATEGY & ARCHITECTURE - Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs - Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack LEADERSHIP & MENTORSHIP - Provide technical leadership and guidance to the engineering organization, setting best practices and standards. - Coach and mentor engineers, fostering a culture of continuous learning and collaboration Innovation & Research - Investigate emerging technologies, frameworks, and best practices - Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities SCALABILITY & PERFORMANCE - Ensure the platform is designed for high performance and can seamlessly handle increasing user loads - Oversee performance optimization, load balancing, and capacity planning strategies RELIABILITY & AVAILABILITY - Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation - Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices - Continuously refine deployment, testing, and operations processes to improve efficiency SECURITY & COMPLIANCE - Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data - Proactively address security vulnerabilities and champion secure coding practices CROSS-FUNCTIONAL COLLABORATION - Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives - Drive alignment between engineering roadmaps and product strategies TECHNICAL PROBLEM-SOLVING - Tackle complex architectural and technical issues, providing clear direction and innovative solutions - Serve as an escalation point for critical system challenges CODE QUALITY & REVIEWS - Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases - Establish and enforce best practices around testing, documentation, and version control DOCUMENTATION & KNOWLEDGE SHARING - Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks - Promote a transparent engineering culture by sharing insights and successes across the organization - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS ● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) ● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems ● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks ● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes ● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs. ● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions ● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders. ● Security conscious: Solid understanding of security best practices, compliance standards, and data protection ● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $219K – $352K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab (RWTL) Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls — their devices, their environments, their hardest conditions, and their definition of success — and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring a Hardware Operations Engineer with a robotics specialism, reporting to the Director of the Real-World Test Lab, to own the physical layer of our evidence. You'll manage our fleet of capture devices and robots, engineer the test environments and the instrumentation inside them, support the captures our data programs depend on, and run physical test sessions, including the real-robot side of our sim-to-real work. A physical run only counts as evidence if the hardware is characterized, the environment is controlled, the ground truth is trustworthy, and someone can reproduce the run months later. You'll build what makes that possible: fixtures, ground-truth references, calibration and data-offload tooling, and the integrations that feed physical runs into the same automated evaluation system as everything else. You engineer the conditions, not just the setup. When a physical result didn't match expectations, you've worked out whether the hardware, calibration, environment, or system under test was responsible. Then you built the rig, reference, or logging that kept the question from coming back. You know an uninstrumented physical test is an anecdote, and in the Lab you'll be the person who can say with authority whether a strange result is real. What Success Looks Like - 30 days: Fleet inventory and characterization baseline complete, safe operating procedures defined for current spaces, and first instrumentation gaps identified. - 60 days: First physical robot run executed with ground-truth instrumentation, documented well enough to repeat, with results in the Lab's evaluation system. - 90 days: Test environments in regular use with controlled, documented conditions; capture support running smoothly with our data acquisition team; and the physical side of sim-to-real running on a standing instrumented protocol. What You'll Do - Own and Characterize the Fleet - Manage our capture devices, sensors, and robots end to end: inventory, calibration, firmware, maintenance, logistics, and spares. Characterize what each platform can and cannot do, so a device's limits are a known quantity rather than a surprise inside a result. - Engineer the Physical Test Environments - Design, build, and operate the spaces we test in, covering layout, lighting control, markers, obstacle configurations, and survey-grade ground truth references, across our office, rented or workplace-services-supported space, and partner or customer sites. Make each environment a controlled variable rather than an improvisation. - Build the Instrumentation - Create the rigs, mounts, references, and measurement setups that turn a physical run into quantitative data: trajectory ground truth, positional accuracy references, timing and synchronization across sensors, and automated condition logging. - Integrate Physical Runs Into the Evaluation System - Work with the AI Automation Engineer so physical results flow into the same scorecards and comparisons as software-only evaluations, through automated data offload, run metadata, and structured condition capture rather than a spreadsheet and a folder of files. - Run the Physical Test Sessions - Execute robot runs and device-in-the-loop tests: robot bring-up, teleoperation, scripted trials, and the repetition that makes a result statistically meaningful rather than anecdotal. - Own the Physical Half of Sim-to-Real - When a scenario has been evaluated in simulation, engineer and execute its physical counterpart so the comparison is valid, matching environment, route, lighting, sensor configuration, and robot setup, and instrumenting the run so divergence is explainable rather than mysterious. - Own Safety - Define and maintain safe operating procedures for robots and powered equipment in our test spaces, and coordinate with workplace services, IT, Legal, and site owners on access and safety requirements. - Automate Your Own Work - Script the repetitive parts, including configuration, calibration checks, data offload, and condition logging, so setup time falls and a colleague can run a session without you. What You'll Bring - Hands-on engineering experience with robotic hardware, covering bring-up, integration, teleoperation, troubleshooting, and maintenance. Mobile or wheeled platforms preferred. - Built test rigs, fixtures, or instrumentation that produced quantitative measurements of a physical system's behavior. - Designed and run structured physical experiments, including ground truth methodology, and documented conditions rigorously enough for someone else to reproduce them. - Worked with sensor calibration, multi-sensor synchronization, and coordinate frame conventions, and understand how errors in each propagate into a result. - Strong Python and command-line proficiency, with a track record of automating hardware configuration, data offload, or test execution. - Managed hardware fleets operationally: inventory, firmware, calibration schedules, logistics, and repair coordination. - Practical safety experience operating powered equipment or robots around people. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Worked with ROS or ROS 2, including writing nodes or integrating sensor drivers. - Operated NVIDIA Isaac Sim or Isaac Lab as a user, running scenarios someone else authored. - Worked with professional capture hardware such as terrestrial laser scanners, NavVis or Leica systems, LiDAR, 360 cameras, or drones. - Established survey-grade or motion-capture ground truth for localization or navigation evaluation. - Supported photogrammetry, Gaussian splat, or 3D reconstruction capture workflows. - Run test operations at customer or partner sites, with the coordination and discretion that requires. Competencies - Engineering judgment about physical systems. You reason about error sources: calibration drift, timing offsets, mounting rigidity, lighting variation, floor surface. When results disagree, you form a hypothesis and design the measurement that settles it. - Hands-on and unfazed. You'd rather be in the space with the robot than reading about it. Cables, mounts, batteries, firmware, and a session that starts at 7am are all part of the job. - Meticulous about conditions. You instrument rather than remember. You know the value of a physical test lives in how precisely its conditions were captured. - Safety-minded without being slow. You take real responsibility for operating robots around people, and you build procedures where the safe path is also the fast path. - Builds for other people. Your fixtures, scripts, and procedures get used by colleagues without you in the room. - Comfortable in an unfinished environment. Much of this does not exist yet. You'll be selecting equipment, designing the first rigs, and defining how a space gets configured, with support but without a playbook. Compensation & Benefits Base salary range of $142,200 to $193,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.