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Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it. WHAT YOU'LL DO New Product Introduction (NPI) - Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production. - Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes. - Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures. - Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget. Manufacturing Scalability - Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production - Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases. - Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation. - Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production. Quality & Defect Reduction - Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues. - Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow. - Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs. - Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs. Supplier Management - Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling. - Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements. - Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management. - Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers. WHAT WE'RE LOOKING FOR - Bachelor's degree in Mechanical Engineering or a related field. - 10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment. - Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems. - Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.). - Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC. - Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution. - Experience standing up or scaling manufacturing lines at contract manufacturers. - Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders. - Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international). Preferred Qualifications: - Experience in robotics, automation, or other complex mechatronic products. - Familiarity with PLM/ERP systems and NPI program management tools. - Six Sigma or equivalent quality certification. - Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. IN THIS ROLE YOU WILL You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. - Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase - Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished - Run a fast, disciplined experimentation loop where hypotheses are argued before they're built - Hold conversion and activation alongside churn, support volume, and 90-day retention, and report all of them — including the experiments that come back flat - Grow the engineers on your team, including the underrated skill of doing excellent work on something that might be deleted next week YOU’LL LOVE THIS JOB IF YOU - Believe Growth done well is a form of customer service, not a conversion engine - Would rather ship one well-argued hypothesis than five cheap tests, and can tell the difference before the results come in - Love digging into data to find insights but form your best hypotheses from empathizing with customers - Enjoy the challenge of understanding developer workflows deeply enough to know where and when a change creates value - Want to build the measurement foundation rather than inherit one, and have opinions about what a team should/shouldn't bother instrumenting - Are comfortable being the person who says the result doesn't hold up QUALIFICATIONS - 3+ years managing engineers, including time owning a metric-driven team, on top of a strong engineering background - Technically credible with senior engineers — our EMs engage substantively in architecture and technical decisions, and every EM passes a technical assessment at a senior IC bar - Strong product sense — you identify where a change will create the most value, not just where a metric can be moved - Experience helping users get the most out of a complex product - Working fluency with experimentation frameworks, feature flags, A/B testing, and analytics instrumentation - Able to talk to users credibly about their workflows, tooling, and pain points, with genuine opinions about the developer tools you've used - Bonus: you've worked on growth at a developer tools company, built experimentation infrastructure from a low starting point, or run experiments at volumes where significance wasn't guaranteed The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $450,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Cloud Engineer to design, build, and operate DRW's cloud and hybrid infrastructure across a diverse multi-cloud environment, taking ownership and accountability for the reliability, security, and performance of what you deliver. This role helps ensure our cloud infrastructure is secure, highly available, and optimized to support our continued success and growth. You will partner closely with engineering, security, networking, operations, and business teams to enable appropriate use of public cloud, private infrastructure, and hybrid architectures. What You'll Do : Platform Management: Manage and evolve cloud platforms, including but not limited to AWS, Microsoft Azure, Google Cloud Platform (GCP), Alibaba Cloud (AliCloud), and Snowflake, along with the associated hybrid and on-premises dependencies required to operate them reliably. Cloud Foundations: Design and maintain cloud foundations, including account/subscription/project organization, identity integration (federation, workload identity), policy guardrails, logging, tagging, and shared services. Operational Excellence: Serve as the escalation point for complex production and cloud/hybrid-infrastructure issues, owning root cause analysis and holding yourself accountable for durable fixes, engaging cloud provider and partner support teams as needed. Automation & Standards: Build and maintain automation, standards, reference architectures, and documentation that strengthen deployment consistency and enable teams to consume cloud services safely and consistently. Integration & Collaboration: Engineer and support resilient cloud connectivity, including transit architectures and connectivity between cloud providers and on-premises environments. Observability & Monitoring: Implement and improve observability across cloud services, including metrics, logs, traces, alerting, and capacity dashboards. Stakeholder Support: Advise application and infrastructure teams on cloud, hybrid, and on-premises architecture choices based on reliability, performance, security, and cost. Cost Management: Partner with Finance and Purchasing on cloud cost visibility, forecasting, and commitments, holding yourself accountable for the team's FinOps and efficiency goals. Continuous Improvement: Research, evaluate, and implement new cloud services and capabilities that improve reliability, developer experience, security, or efficiency. What We're Looking For: 5+ years of experience engineering and administering production cloud environments in multi-cloud and hybrid settings, with strong AWS experience, exposure to one or more of Azure, GCP, Alibaba Cloud (AliCloud), and Snowflake; and integration with on-premises infrastructure. Experience with infrastructure as code and automation, including Terraform, Python, APIs/SDKs, CI/CD, and Git. Strong knowledge of cloud networking, including VPCs, routing, DNS, firewalls, load balancing, private connectivity, and interconnect providers. Working knowledge of cloud security fundamentals, including IAM, encryption/key management, secrets management, and least-privilege design. Experience with cloud observability, monitoring, and alerting, and a proven ability to troubleshoot and resolve complex production problems while making sound decisions under pressure. Understanding of cloud cost models and practical approaches to cost allocation, optimization, capacity planning, and FinOps. Excellent communication and documentation skills, with the ability to learn quickly, take initiative, and adapt to changing technologies and business needs while working effectively across technical teams and cloud providers. A proven track record of delivering secure, scalable, and reliable cloud solutions, with strong ownership and accountability for production outcomes. Willingness to participate in a 24/7 on-call rotation supporting production cloud environments. Previous experience in financial services or trading environments is a plus. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Mechanical Engineer, you will serve as a technical leader and trusted partner to some of the world’s largest technology companies and mission-critical clients. You’ll lead the delivery of complex, high-impact projects—guiding mechanical design from concept through execution while ensuring technical excellence, consistency, and performance. In this role, you will help lead project teams, provide direction across disciplines, and take ownership of the most complex design challenges—performing advanced calculations, overseeing technical documentation, and ensuring quality across all deliverables. Your expertise will be critical in driving solutions for large-scale infrastructure projects, including data centers and central utility systems. Beyond project delivery, you will play a key role in mentoring and developing engineers across the team, elevating technical capability, and influencing best practices. You’ll collaborate closely with clients, internal leaders, and cross-functional teams to deliver innovative, reliable solutions that support high-demand environments. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills and ability to lead client and team interactions Proven experience leading complex projects and engineering teams Ability to operate as both a strategic leader and hands-on technical expert Bachelor’s degree in mechanical engineering 7+ years of mechanical engineering experience Licensed Professional Engineer (PE) Data Center experience preferred Central utility or large-scale infrastructure experience (preferred) Revit experience Strong track record of mentoring engineers and elevating team performance Expertise in troubleshooting complex issues and driving effective solutions Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson provides multidisciplinary design services for some of the largest and most forward-thinking and desirable companies in the world to work for. The large hyperscale data center campuses we design throughout the U.S. will give you the opportunity to work on some of the largest and most complex engineering-driven projects being built today. Our clients are relationship based and truly value the work we do for them, affording us the opportunity to contribute to society’s technological and connected community through the design of the critical infrastructure that is the foundation of these projects. As a Mechanical Engineer on our Data Center team, you will be a part of the firm’s largest and most complex projects. You will serve as a project manager on some projects and lead design engineer on others. A typical day includes preparing planning and design documents, processing design calculations, and developing and maintaining team and client standards. You may lead quality assurance/quality control and act as an advisor on complex projects. You will also coordinate with other Olsson teams, professional staff, technical staff, clients, and other consultants. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: 6+ years of related mechanical engineering experience required PE licensure Project management experience preferred Proficient in Revit Ability to contribute and work well on a team Bachelor's degree in mechanical engineering Strong communication skills The typical annual salary range for this role is as listed below. Compensation may vary based on geographic location, experience, and qualifications. Employees in this role may be eligible for our performance‑based bonus and merit increases. National Pay Range $98,000 — $140,000 USD Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Job description available at the provided link.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Senior Mechanical Engineer, you will work directly with some of the world’s largest technology companies and other mission-critical clients. You will serve as a mechanical engineer on projects, design calculations, write technical reports, and prepare documents. Experience in the Data Center industry is preferred. You will also coordinate with other Olsson teams, professional staff, technical staff, and clients. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills Project Management experience preferred Ability to contribute and work well on a team Bachelor's degree in mechanical engineering 10 - 15+ years of mechanical engineering experience Revit experience preferred Central utility experience preferred Data Center experience preferred Licensed PE Ability to be a self-starter to take on a variety of tasks to best serve the client and their project work Investigation and troubleshooting of problems to find solutions Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Taipei / Taiwan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Shenzhen• Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: APAC / China / Hong Kong; China HK Workplace: OnSite Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Dongguan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Zhuhai Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Guangzhou Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.