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Location: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure: from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. WHAT YOU’LL WORK ON: Platform & Runtime Security - Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) - Strengthen boundaries between customers, workloads, and internal systems - Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security - Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar) - Improve workload isolation, scheduling boundaries, and runtime protections - Evaluate tradeoffs in multi-tenant execution models Identity & Access Management - Design and improve authentication and authorization systems across services - Implement strong service-to-service identity and least-privilege access patterns - Improve access controls across infrastructure and internal systems Secrets & Key Management - Build and maintain systems for securely managing secrets, tokens, and credentials - Improve rotation, auditing, and access controls - Reduce secret sprawl and integrate secure patterns into developer workflows Cloud & Infrastructure Security - Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability - Improve network boundaries, service segmentation, and access controls - Embed security into infrastructure-as-code and deployment systems Engineering Partnership - Work closely with product and infrastructure teams to design secure systems from the ground up - Review architecture and code for security risks and provide actionable guidance - Identify patterns in risks and drive cross-cutting improvements YOU MAY BE A FIT IF: Core Experience - You have experience securing cloud-native infrastructure and distributed systems in production - You have a background in infrastructure, backend, or security engineering - You’ve worked in multi-tenant or high-scale environments Technical Depth - You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar) - You’ve designed or secured isolation mechanisms in multi-tenant systems - You have a solid understanding of authentication, authorization, and service identity models - You have experience with secrets management and secure handling of credentials - You have a strong foundation in networking concepts (segmentation, service communication, access boundaries) Mindset - You have a builder mentality: you design and implement, not just review - You take a pragmatic approach to security in fast-moving environments - You’re comfortable working deeply with engineers and influencing system design NICE-TO-HAVE: - Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar) - Familiarity with kernel-level or low-level isolation primitives - Experience securing Kubernetes or similar orchestration systems in production - Background in developer infrastructure, compute platforms, or multi-tenant systems

Location: Dubai, United Arab Emirates Müller's Solutions is seeking a seasoned Senior AI Framework & Strategy Consultant for a 6-month contract. In this pivotal role, you will build AI Frameworks and Strategic Planning , lead the development and implementation of AI strategies that align with our clients’ business goals. You will provide expert guidance on AI frameworks, deployment methodologies, and technological innovations to drive digital transformation and competitive advantage. This role requires a blend of strategic vision, deep technical expertise, and proven consulting experience. Responsibilities: Building AI Frameworks and Strategic Planning. Develop comprehensive AI strategies and frameworks tailored to client business objectives and technological environments. Advise clients on AI technology selection, integration, and implementation best practices. Lead workshops and training sessions to educate client teams on AI capabilities, benefits, and governance. Collaborate with multi-disciplinary teams to design AI-driven solutions addressing complex business challenges. Stay current with emerging AI trends, tools, and ethical considerations to provide forward-looking guidance. Evaluate existing AI solutions and recommend enhancements to optimize performance and scalability. Support business development efforts through thought leadership, proposal development, and client engagement. Requirements Master’s degree or higher in Artificial Intelligence, Computer Science, Data Science, or a related field. At least 8 years of experience in AI strategy development, consulting, or implementation roles. Strong expertise in AI frameworks, machine learning algorithms, and deployment methodologies. Proven track record of leading AI projects and delivering measurable business value. Excellent communication skills, capable of articulating complex AI concepts to technical and non-technical stakeholders. Experience conducting workshops and facilitating training sessions. Ability to stay ahead of AI technology trends and apply innovative solutions creatively. Familiarity with AI ethics, governance, and compliance considerations. Consulting experience with multinational clients and diverse industries is a plus. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Bengaluru, India NetWitness is revolutionizing how organizations detect, investigate, and respond to cyber threats. As a leader in SIEM (Security Information and Event Management) and NDR (Network Detection and Response), plus Extended Detection & Response (XDR), we're not just another cybersecurity vendor - we're the unified platform that gives security analysts unrivaled visibility into sophisticated threats hiding in today's complex, hybrid IT infrastructures. As a Sales Engineer, you will play a pivotal role in driving the adoption of our solutions and services. You will work closely with customers as their trusted advisor, and with the sales team to provide technical expertise and support throughout the sales process. Your deep understanding of our products, services, and the cybersecurity landscape will enable you to effectively address customer needs and demonstrate the value of our solutions. You will also participate and speak at trade shows, seminars, and other marketing events where the company is actively participating. Responsibilities: Serve as the primary technical point of contact throughout the sales cycle. Collaborate with the sales team to develop and execute successful sales strategies. Conduct in-depth technical presentations and product demonstrations, effectively communicating the technical capabilities and business value of the Company solutions. Build and maintain strong technical relationships with key customer stakeholders and be the customer’s trusted advisor. Understand customer's security challenges, technical requirements, and existing infrastructure to propose tailored solutions. Design, deploy, and manage Proof-of-Concepts (POCs) and evaluations, ensuring successful outcomes and demonstrating the effectiveness of the Company solutions. Assist in the creation of technical documentation, proposals, and RFP responses. Deliver health-checks and workshops for existing customers, retaining and expanding their footprint. Develop and maintain a thorough understanding of our products, competitive landscape, and industry trends. Stay up to date on the latest cybersecurity threats, attacks, and trends. Work closely with the product management and engineering teams to relay customer feedback, market trends, and contribute to product development. Participate in industry events, trade shows, and conferences to promote our solutions and generate leads. Own and maintain the technical relationship with the Company partners community within the assigned territory. Provide technical training and support to sales team members and partners Requirements 3+ years of experience in a sales engineering, technical pre-sales, security consulting, or similar roles in the cybersecurity industry. Excellent communication and presentation skills, with the ability to adapt and convey complex technical concepts to both technical and non-technical audiences. Deep understanding of networking protocols, network security concepts, and security architectures. Strong knowledge of threat detection methodologies, incident response processes, and common attack vectors. Experience with Threat Detection and Response solutions, such as SIEM, NDR, EDR, UEBA, and SOAR. Proven ability to conduct effective product demonstrations and POCs. Proven track record of supporting successful sales cycles and achieving sales targets. Industry certifications such as CISSP, CEH, SANS, or similar are a plus. Familiarity with Linux CLI and basic scripting/programming skills. Willingness to travel as needed to meet with customers and attend industry events. Team player, with a genuine collaborative attitude and willingness to share with and inspire others.

Location: Morocco We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English and Arabic (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group ( GDFT ) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. What you'll be doing: Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil What we're looking for: Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge: Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Service Reliability Engineer As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group ( GDFT ) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. What you'll be doing: Taking a leadership role in ongoing improvements in Reliability and Scalability Work closely with SRE Management to define KPIs, processes and drive continuous improvement Influence the architecture and implementation of solutions within the division Mentor more junior SRE staff and enable them for success Act as a voice to represent SRE in the wider organisation Represent the operational scalability of solutions in the wider division Lead small-scale projects from inception to implementation Design platform-wide solutions and provide technical leadership during their implementation Demonstrate a high-level of organizational skills and initiative in the role What we're looking for: Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge: Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software distribution (Package management and distribution at scale) Configuration management (ansible, saltstack, puppet, chef) Software performance analysis and load testing (QA or SDET experience: a plus) Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Espoo; Warsaw Workplace: Hybrid - Senior System Engineer (Ground Systems Hardware) - Location: Espoo, Finland / Warsaw, Poland - Department: Platform & Release Engineering - Reports to: Platform & Release Engineering Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior System Engineer (Ground Systems Hardware), you’ll design and validate mission-critical ground hardware systems that enable ICEYE’s satellite operations, ensuring performance, reliability, and scalability across demanding environments. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design, integrate, and validate ground hardware systems at system level - Define and maintain hardware specifications, interfaces, and performance requirements - Conduct system modeling and identify design gaps and improvement opportunities - Own validation and acceptance testing, including test plans, setups, and final sign-off - Collaborate with product, systems, manufacturing, and operations teams to align designs with requirements - Ensure documentation accuracy, configuration control, and version management - Apply expertise in compute, power, and environmental systems to ensure reliability in operations - Drive continuous improvement of integration and testing processes WHAT WE’RE LOOKING FOR MUST HAVES: - 5 to 8+ years of experience in systems engineering for hardware-based products - Strong experience with virtualization technologies such as VMware, including vSAN and HCI - Strong networking knowledge including switches, VLANs, routing, and firewalls - Experience with storage systems such as Cloudian or Dell, including object storage concepts - Experience with server hardware platforms and rack-level design considerations - Strong background in hardware integration, validation, and environmental testing - Experience defining and managing technical specifications and system interfaces - Strong documentation, configuration management, and communication skills in English Nice to haves: - Experience with edge compute platforms and on-premise deployments - Familiarity with ruggedized hardware and environmental compliance testing - Experience with system modeling tools or requirements management systems - Understanding of ground systems, mission operations, or ISR architectures - Experience in satellite, earth observation, or defense systems APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with the Claude API, Claude Code, and Claude for Enterprise Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend Build reusable blueprints, demos, and enablement assets that scale across customers Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 As a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design. WHAT YOU’LL DO - Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components. - Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets. - Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings. - CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies. - Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards. - Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures. - Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements. - Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.   WHAT WE'RE LOOKING FOR - BSME with 5+ years of relevant experience - Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields. - Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX. - Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018). - Experience transitioning designs from early concepts (NPI, EVT, DVT) to production. - Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures. - Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs. - Creative and collaborative thinking with a team-first mentality. 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 a 4% employer match. - Equity included–we believe builders should share in what they build. - 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 $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Strategic Account Executive who will play a critical role driving sales and maximizing expansion opportunities within one of our top accounts within Figma. The account you will be responsible for will be Accenture, targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma. What you'll do at Figma: Manage Accenture to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen C-level relationships Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: Experience selling to or within Accenture - or you have sold to a Big 4 (PWC, KPMG, EY or Deloite) company or sold large enterprise deals Experience closing sales, over multiple years, for a software or SaaS business with the highest tier of Enterprise customers (5000+ FTEs), selling to executives Consistent performance meeting pipeline generation targets for net new business Demonstrated experience successfully managing complex sales cycles (9 months+) Proficiency in a sales methodology and process that creates value for customers While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams Demonstrated ability to succeed in a changing environment Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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 As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration. In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team! WHAT YOU’LL DO - Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world. - Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system. - Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains. - Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions. - Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots. - Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments. - Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.   WHAT WE'RE LOOKING FOR - 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go). - Experience developing time-sensitive, performance-critical applications. - Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC. - Experience with Linux build environments like Yocto or Buildroot. - Experience in building Linux kernels and modifying or writing device drivers. - Experience with NVIDIA’s Jetson platform is a plus. - Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. - Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics. - Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams. - Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration. 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 employer match. - Equity included–we believe builders should share in what they build. - 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 $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: UK, London 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're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work). WHAT YOU’LL DO - Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. - Come up with data preprocessing strategies to improve the quality of collected data. - Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. - Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. - Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. - Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. - Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. WHAT WE'RE LOOKING FOR - 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. - Experience with neural network post-training. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. - Good familiarity with modern software engineering practices. - Ability to document experiments clearly and communicate trade‑offs crisply. Nice to have: - Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. - Experience applying RL to robotics problems. - Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Consumer Growth Marketing Associate at Via, you will design the programs, campaigns, and outreach strategies that connect riders to our transportation services across the United States and beyond. You will oversee a variety of strategic marketing tactics, from paid social and out-of-home to lifecycle communications. You will have the opportunity to shape initiatives from initial ideation to execution and measurement, meaningfully improving transportation outcomes for our partners and the local communities we serve. About the Role: Build end-to-end lifecycle programs based on quantitative and qualitative market research, tailoring strategies to specific customer segments and key use cases. Launch and optimize multi-channel marketing initiatives, collaborating across internal and partner teams to monitor performance and refine engagement strategies. Drive rider growth through experimentation, consistently identifying and testing new initiatives to supplement our existing acquisition and retention playbooks. Conduct rigorous funnel analysis to pinpoint opportunities for improvement across the rider journey, from signup conversion to long-term loyalty. Scale community-specific programs by identifying winning local tactics and developing the replicable processes and playbooks needed to deploy them in similar markets. Manage data reporting and dashboards, tracking key metrics to communicate clear strategies and actionable insights to both internal and external stakeholders. About You: Minimum of 0–2 years of experience with a strong interest in growth marketing and a demonstrated ability to turn data into actionable insights. Customer-centric storyteller with exceptional written and interpersonal communication skills, particularly in explaining complex ideas to diverse audiences. Resourceful, a problem solver who is motivated by high levels of ownership and the opportunity to have a measurable impact. Proactive, a critical thinker with a no-task-too-small attitude while navigating a fast-paced environment. Analytical and data-oriented, excited to develop your quantitative skills and turn data into insights Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $65,000-$85,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: UK, London 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 Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows. You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware. We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators. WHAT YOU’LL DO - Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks. - Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence. - Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack. - Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior. - Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture. - Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use. - Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely. - Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes. - Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures. - Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows. WHAT WE'RE LOOKING FOR - Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior. - Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines. - Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware. - Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust. - A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure. - Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior. - Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities. - Clear communication and collaboration with cross-functional teams. Nice to have: - Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems. - Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk. - Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows. - Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices. - A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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 design robots in simulation before building them in hardware. As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning. You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies. A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks. WHAT YOU’LL DO - Design and evaluate new robot platforms using physics simulation - Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits - Use reinforcement learning to stress-test robot designs and explore capability limits - Own and maintain URDF models of current and future robot platforms - Maintain the CAD → URDF → simulation pipeline - Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness - Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout - Collaborate with mechanical, control, and perception teams to guide platform design decisions WHAT WE'RE LOOKING FOR - M.Sc http://M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field - Strong foundation in robot kinematics and dynamics - Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar) - Experience with reinforcement learning in robotics or physics-based simulation - Experience working with URDF or similar robot description formats - Strong programming skills in Python and/or C++ - Experience training RL locomotion or manipulation policies Nice to have: - Experience with legged, humanoid, or wheeled robots; - Experience with whole-body control or torque-controlled robots; - Experience with simulation-driven hardware design; - Experience building large-scale RL training pipelines. 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 a 4% employer match. - Equity included–we believe builders should share in what they build. - 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 target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: UK, London 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're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. WHAT YOU’LL DO - Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. - Build and maintain robust CI/CD pipelines for both software and ML workflows. - Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. - Automate deployment, orchestration, and environment management using modern DevOps tooling. - Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. - Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. - Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. - Document infrastructure, workflows, and operational procedures clearly and thoroughly. WHAT WE'RE LOOKING FOR - Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. - Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. - Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). - Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). - Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. - Ability to design scalable, secure, and observable systems in fast-moving environments. - Strong debugging and problem-solving skills across distributed systems. - Excellent collaboration and communication skills, with experience working in cross-functional teams. - Understanding of security and compliance best practices for both software and ML systems. WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: MARGARITAVILLE, Worldwide We are hiring for an IT Manager, position for cruise company Margaritaville at Sea! At Margaritaville at Sea our core purpose is to create and deliver fun and escapism. This drives all we do and is the heart of our decision making. As a valued member of our team, you'll contribute to providing an incredible guest experience every day of each cruise and in every way. You’ll also have opportunities to advance your career as we continue to grow. Your career path with us starts here! As an IT Manager you will be responsible for the maintenance, operation, and support of all onboard V-Sat communications, TV systems, computer systems, mobile devices, physical and virtual servers, networks, point-of-sale terminals, network equipment, and peripherals. This consists primarily of level 1, 2 and 3 (if applicable) support as well as system monitoring and troubleshooting. The IT Manager works closely with the shoreside IT department to ensure all onboard systems perform at optimum levels. 🚢 Benefits to work on board Margaritaville at Sea? Cruise Line founded by former crew member Embrace the Margaritaville lifestyle and deliver the FUN Free accommodation, food and Wi-Fi for crew Industry leading Salaries and Benefits + excellent tips Focused on Crew Career Progression Great Crew Recognition Programs and friendly atmosphere Make Memories combining Work and Travel ⚓ RESPONSIBILITIES: Work closely with shore side IT for new projects, deployment and implementation. IT Network Infrastructure – administer, manage and monitor the hardware and software resources, connectivity, communication and operations of the entire network. Physical and Virtual Servers – maintain and monitor the servers at all time. Protects data, software and hardware from failures. Domain Controller – administer, manage and monitor the servers, computers and users onboard. Exchange Server / Office 365 – administer and maintain exchange server, email addresses, and virus attacks. Help email users by providing instructions and best practices. V-Sat Communications (Telenor) – ensure efficient operations at all times. Monitor closely and the optimal performance of the ship. TV System – in-charge with the above deck equipment (ADE) and below deck equipment (BDE) including troubleshooting and repair of the equipment. Handle and control the TV broadcast onboard. Property Management System (Fidelio) – administer and manage the system from terminal check-in, security gangway and guest and crew handling and users support. Point of Sales (Micros) – administer and manage the server, workstations and users. Includes repair and troubleshooting of workstations and printer. Wi-Fi Mesh Network – administer and manage the Cisco Wireless Controller. Troubleshoot and repair wireless access points for optimal performance and coverage. etc. ⚓ REQUIEREMENTS: Minimum 21 years old Relevant ship experience is preferred Good level of English language In addition to technical experience, IT managers are required to have at least a bachelor's degree education in IT, preferably with well-rounded major such as computer science, information technology or management information systems. Applicants must have at least five years' related experience in areas of user support within a medium-sized LAN; a thorough knowledge of computer systems including but not limited to Linux, MS Office, Windows Client and Server editions; and experience troubleshooting PC hardware, software applications, and network connectivity. Management or supervisory experience and a BS or higher in computer science, MIS, or related field is strongly preferred. Able to share and participate in corporate decision-making if needed. Able to execute decision-making properly to solve problems by thinking ahead and correct planning. Ability to quickly learn new or unfamiliar technology and products using documentation or internet resources. Technologically savvy. Passionate about security. Excellent time management. Must have leadership abilities. Ability to think through problems and visualize solutions. Must have a professional appearance and good hygiene. Respect for all co-workers and guests. Pride in your work by creating positive energy, excitement and fun. Ability to speak additional languages such as Spanish, French or German preferred. Join "Margaritaville at Sea" and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a fast growing company that offers opportunities for advancement! NOTE: Nationalities that we can process: 🇪🇺 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇬🇪 🇦🇿 🇹🇯 🇹🇲 You can submit your Resume here pushing APPLY TO POSITION button above If you are not sure what position to apply for, you may instead submit general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions Last updated:  February 20, 2026