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Location: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid About the role We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models. Key Responsibilities Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication) Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables Skills, Knowledge & Expertise 4+ years in data engineering Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync Experience preparing training datasets for computer vision or autonomous-driving models. Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent) Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks Strong Python and SQL; AWS or GCP, Docker, Kubernetes Nice to have Sensor data formats such as ROS2 bag, MCAP or point clouds Parquet, Delta or Iceberg; Databricks Argo Workflows or Airflow OpenStreetMap and Overture Map QGIS BigQuery Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Sharjah, United Arab Emirates PipeCare Group is looking for an experienc Mechanical Design Engineer to join our team. By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 20 years. Key Responsibilities: Design inline inspection tools and robotic systems from concept through detailed design and production release. Conduct analyses using FEM/CAE tools (including ANSYS) to validate performance, strength, and reliability. Execute component and material selection based on mechanical performance, environmental conditions, and lifecycle requirements. Develop complete engineering documentation including manufacturing drawings, assembly drawings, specifications, and technical reports. Support prototype fabrication, functional testing, qualification, and iterative design improvements. Define and prepare assembly procedures and maintenance documentation. Support production startup, root-cause failure analysis, and continuous design optimization. Ensure compliance with applicable engineering standards, codes, and regulatory requirements. Qualifications & Technical Skills: Bachelor’s degree in Mechanical or Mechatronics Engineering. Minimum 3 years’ experience in mechanical and/or robotic system design using SOLIDWORKS. Proficient in detailed mechanical design, 2D/3D drawings, BOM preparation, design calculations, computer simulations, validation, and optimization. Strong experience in ANSYS for structural, thermal, and mechanical analyses. Experience in the design and analysis of pigging tools, pipeline inspection crawlers, robotic inspection mechanisms, and in-pipe mobility systems is highly desirable. Strong exposure to design for manufacture (DFM/DFA) and production engineering environments.

Location: Remote Workplace: Remote ABOUT OPTIMUM Optimum is building the world's first data acceleration network for any blockchain. Powered by Random Linear Network Coding (RLNC), Optimum scales network speed, robustness, and throughput by orders of magnitude. Co-founded by Muriel Medard, co-inventor of RLNC, and a team of industry experts, Optimum introduces a breakthrough in Web3 infrastructure. Our infrastructure enables high-speed data propagation, fast access, and secure updates, scaling the world computer. Backers include 1kx, Spartan, Robot Ventures, Finality Capital, Triton Capital (fka Kraken Ventures), CMT Digital, SNZ, and others. Learn more at getoptimum.xyz http://getoptimum.xyz ABOUT THE ROLE We're hiring a Jr. Software Engineer to join the Optimum team and turn product ideas into working prototypes. You'll work closely with our CTO and CPO to build, test and benchmark our solutions against the competition. This role is deliberately focused. Your job is product discovery through code: build it, measure it, learn from it, and help us find a good fit for our users. WHAT YOU'LL DO - Build working prototypes of new ideas alongside the engineering and product team. - Design and run benchmarks that compare our prototypes with competing solutions, and report results clearly. - Work with the product team to understand how our users operate, where performance matters most to them, and what they'd pay for. - Iterate quickly: ship a prototype, present findings and gather feedback, decide what to keep, and move on. - Use AI coding tools such as Claude Code and Cursor to prototype faster, so you spend your time on testing ideas rather than boilerplate. - Help shape the roadmap by bringing data and working demos, not just assumptions. WHAT WE'RE LOOKING FOR - Strong hands-on software engineering skills and a track record of shipping, such as open-source work or side projects. - Strong hands-on full-stack engineering skills, from backend services and APIs to web front ends, with a record of shipping things such as open-source work or side projects. - A prototyping mindset: comfortable building something rough to answer a question, then refining what works. - A competitive streak and curiosity about how your work stacks up against alternatives. - Comfort with performance measurement and benchmarking. - Clear written communication and the ability to work with a distributed team. NICE TO HAVE - Experience with Go or another systems language on the backend, and React or TypeScript on the front end. - Familiarity with real-time data systems, latency-sensitive applications, or high-performance workloads. - Experience with blockchain networks, P2P networking, or trading and MEV workflows. - Experience working directly with product or business stakeholders. WHAT WE OFFER - Work on hard problems at the edge of networking, blockchain market structure, and decentralized systems. - Close collaboration with a small, senior, cross-functional team. - Competitive compensation, equity, and flexibility. - Flexible time off. - Fully remote. - Work from wherever you do your best thinking. Most of the team operates on ET or CET, so we look for meaningful overlap with those windows (at least 5 hours per day). This is a 4 month contract with the potential to extend.

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 Humanoid is seeking a Director of Contracts & Business Support to lead commercial contracting across the business and to build the processes, standards, and systems that support it. This is the company's senior commercial legal role, reporting directly to the CLO. It carries a global remit covering the markets Humanoid sells into, the partners it builds with, and the suppliers from which it sources. The role works in close partnership with the go-to-market (GTM) and supply chain functions, supporting transactions from initial structuring through negotiation to signature. This includes customer and reseller agreements, master supply and manufacturing contracts, technology partnerships incorporating revenue share and other non-standard commercial models, and the confidentiality and data protection arrangements that sit alongside them. Alongside transactional work, the role owns the contracting operating model: standard templates, negotiation playbooks and fallback positions, delegation of authority, escalation routes, and the selection and implementation of contract lifecycle management (CLM) and AI-assisted contract review tooling. WHAT YOU'LL DO - Own commercial contracting end to end, drafting, negotiating, and closing customer, partner, and supplier agreements across every country we operate in. - Act as the legal partner to our GTM and supply chain teams, from early deal shaping through to signature, with fast and commercially practical answers. - Negotiate supply chain and manufacturing agreements, and technology partnerships including revenue share and other non-standard commercial models. - Build and own the contracting operating model: templates, playbooks, guidelines, delegation of authority, escalation paths, and the internal processes that keep deals moving. - Select, implement, and get real value from CLM and AI-assisted contract review tooling to manage a pipeline in the hundreds without simply adding headcount. - Protect and commercialise our intellectual property (IP), advising on ownership, licensing, and confidentiality across customer, partner, and supplier arrangements. - Manage commercial disputes and pre-litigation matters, working with the Head of Compliance and outside counsel where it makes sense. - Work with the Head of Compliance and the CLO to make sure commercial terms reflect our regulatory obligations. - Instruct and manage outside counsel with a clear view of cost and value. - Build, manage, and develop the contracts team as it grows, while staying hands-on yourself. - Be a trusted advisor to senior stakeholders across Sales, Supply Chain, Finance, and the executive team. WHAT WE'RE LOOKING FOR - 10+ years' post-qualification experience (PQE); qualified solicitor in England and Wales (or equivalent), with a current practising certificate. - 5+ years in highly regulated or safety-critical sectors, such as robotics, AI, automotive, aerospace, medical devices, or comparable technology. - 5+ years of in-house experience. - 5+ years of people management experience. - A strong track record on supply chain contracts and technology partnerships, including revenue share arrangements. - Solid IP and dispute resolution experience. - Proficiency with contract management systems and AI contract review tools. - Comfortable managing senior stakeholders and holding your own with commercial leadership. - Hands-on and execution-oriented. You draft and negotiate yourself rather than only overseeing others. - Comfortable operating in ambiguity and driving clarity in a fast-moving environment. - Motivated by a long-term in-house role. This is a demanding position in a company building at pace, where priorities shift and no two weeks look the same. NICE TO HAVE - Dual UK/US qualification. - Experience in deep-tech, robotics, hardware, or advanced manufacturing organisations. - Experience implementing a CLM platform from scratch, ideally an AI-enabled one. - Experience scaling a legal function through rapid commercial growth or a funding round. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days 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.

Charge Robotics is looking for a Lead Recruiter to build the talent function, manage full-cycle technical recruiting, and deliver an excellent candidate and onboarding experience.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across North America — we also have offices in NYC, London, San Francisco, Paris and Seattle. We’re looking for a Creative with a focus on campaigns for Product Marketing. This is not a growth role. It’s a hands-on campaign creative role for someone who makes the work themselves, with AI as their primary medium. You’ll own full-funnel launch campaigns for Runway’s products, features and research: launch films, key visuals, landing pages, lifecycle emails, onboarding flows and everything in between. You’ll report to the Creative Director of Product Marketing. We’re open to creatives who lead with art direction or with copy. What matters is that you make the work yourself and can move across both. Your work will directly shape how people discover, understand and adopt what Runway builds. That means work with real taste that stops people mid-scroll, makes new research feel tangible, and turns curiosity into first use. You’ll also help build the workflows and automations that let a small team ship at the pace of the product. You’ll partner closely with product marketing, design, research, growth and product teams. WHAT YOU’LL DO - Build full-funnel launch campaigns end to end: the idea, the script, the boards, the generation, the edit, the finish. - Make launch films, key visuals and campaign systems that hold up next to the best brand work in the world. - Turn research breakthroughs into work people outside the field can feel, not just read about. - Extend each campaign across every surface (landing pages, social, email, in-product) without losing the idea. - Work at the pace of the product: several launches at once, fast timelines, quality never optional. - Build the machine behind the work. Turn what you make into reusable prompts, workflows and automated pipelines, so every campaign starts further ahead than the last. - Treat every new model as new creative territory, and show the team what’s now possible before anyone asks. WHAT YOU’LL NEED - 4+ years making creative at an agency, studio or brand, with real campaigns shipped for real clients. - A portfolio that proves taste first. AI-generated or AI-assisted work should be central to it. - Fluency with image and video models, plus the craft tools to finish (editing, compositing, design). - Art direction instincts: casting, styling, light, composition, type and pacing. - A strong lead discipline (art direction, motion/edit or copy) and comfort across the others. - A builder’s mindset. You’ve chained tools together, automated the repetitive parts, or built workflows others use. - The range to move from a cinematic launch film to a single perfect frame in the same week. BONUS POINTS - Experience launching creative tools, AI products or research. - You’ve already built something interesting on Runway. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across North America. We have offices in NYC, San Francisco, and Seattle. We’re looking for an AI-Native Social Media Creative, a creative generalist who works natively with AI tools to produce exceptional short-form work for Instagram Reels, TikTok, YouTube Shorts and X. Your background might be in editing, directing, design, animation, art direction or writing. What matters is that you’re already deeply embedded in AI-assisted creative workflows and are pushing the boundaries of what these tools can do. Editing is the core of the role, and you know how to cut short-form video that holds attention from the first frame to the last. This is a making role. You’ll create work across formats, from short-form video and motion to design and editorial, using Runway’s products and the broader landscape of generative AI tools. Some days you’ll be cutting a launch-day Reel from generated footage. Other days you’ll be jumping on a trend the moment it breaks, building out tutorial content or exploring a creative application of a product feature no one’s tried yet. The output varies; the throughput and quality standard don’t. Much of your work will sit at the top of the funnel, often as someone’s first encounter with Runway. It needs to stop the scroll, perform with the algorithm and feel native to each platform. You’ll also work in real time, turning model releases, trends and cultural moments into fast, reactive content while they’re still peaking. You’ll sit within the creative department and report to the Social Media Lead. But the nature of the role means you’ll also work across product, research and marketing, often as the person who translates a product capability into a compelling creative artifact that’s geared to social audiences.   WHAT YOU’LL DO - Create high-quality short-form video, motion, design and animation for Instagram Reels, TikTok, YouTube Shorts and X using AI tools, primarily Runway’s own products - Edit short-form content built to hold attention, from the opening hook through the final frame - Develop concepts and execute finished work, not just prototypes, from initial idea through final output - Create top-of-funnel content that stops the scroll and performs with each platform’s algorithm - Respond to trends, news and cultural moments with fast, real-time content - Explore and push the creative boundaries of generative AI tools, finding new techniques, workflows and visual languages - Produce content across brand campaigns, product marketing, social, tutorials and internal demos - Partner with product and research teams to translate new features and model capabilities into creative work that showcases what’s possible - Contribute to the team’s evolving creative process by sharing workflows, techniques and best practices as the tools themselves evolve WHAT YOU’LL NEED - 4 to 8 years of professional creative experience in social, in editing, directing, design, animation, art direction, writing or a combination - Exceptional short-form editing skills, with a strong instinct for hooks, pacing and sound - A portfolio that demonstrates exceptional creative output made with AI tools, not just traditional work, and not just experimentation, but polished, intentional creative work - Deep, hands-on fluency with generative AI creative tools: you use them daily and understand their capabilities and constraints at a practitioner level - Strong visual and conceptual taste: you know what good looks like regardless of the medium or how it was made - Proven understanding of social media across Instagram, TikTok, YouTube and X, with a strong handle on trends, formats, strategies and what each algorithm rewards - Real-time instincts: you spot trends early and turn quality work around fast - Self-direction and creative initiative: you don’t wait for a brief to start making - Curiosity about the technology itself: you follow model releases, experiment with new tools and understand the trajectory of generative AI - Comfort working in a fast-moving environment where the tools, workflows and possibilities are changing constantly Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Torc is looking for an Engineering Manager Systems Triage Metrics and Analysis to lead data analysis and metrics reporting for autonomous-driving software quality.

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 looking for a Senior CMF Designer to own colour, materials, and finish across our robot programmes. As the Industrial robot moves from Beta into Gamma production, CMF definition becomes a dedicated, full-time responsibility. Your primary focus will be the Industrial wheeled robot, covering tooling-ready specification, supplier management, and production sample governance. You will also contribute early CMF thinking to our other robot platforms as they develop at the early stages. You will be the first dedicated CMF hire at Humanoid, working within a multi-discipline Design Team across multiple robot platforms. What You’ll Do - Own CMF direction across all robot programmes, from early concept through to production-ready specification. - Develop CMF strategy as an integrated part of the team's overall design direction; working with design leads to ensure material and finish decisions reflect and reinforce the product's broader design intent. - Develop and maintain material libraries, finish standards, and sample archives relevant to robotics manufacturing contexts. - Define and document CMF specifications with the precision required for engineering handoff, colour, texture, durability, finish codes specifications etc… - Work closely with Industrial Designers, Fashion Designers and UX Designers to ensure material decisions reinforce, not contradict, the product's form language and functional context. - Collaborate with manufacturing partners and suppliers to validate material feasibility within programme timelines and cost envelopes. - Lead CMF reviews, presenting direction clearly to design leads and senior stakeholders. - Contribute to garment/soft goods material decisions where CMF and wearable design intersect. - Build the CMF process from the ground up ; standards, workflows, review cadences & governance. We’re Looking For - A designer who treats material choice as a communication decision. - 7+ years of CMF experience, ideally with complex manufactured products: robotics, automotive, consumer electronics, medical devices, or industrial equipment. - Deep knowledge of materials, surface finishes, coatings, and manufacturing processes relevant to high-spec electromechanical products. - Experience producing CMF specifications for engineering teams, not just mood boards for stakeholders. - The confidence to defend a material direction and the rigour to back it up with process, technical trade offs and physical evidence. - Comfort operating in ambiguity as you'll be defining the function as much as executing within it. - Familiarity with soft goods or wearable materials is a plus, not a prerequisite. - Based in London, 5 days a week.   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: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. THE OPPORTUNITY As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap. WHAT YOU WILL DO - Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats). - Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team. - System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines. - Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system. - Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge. - Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences. WHAT WE ARE LOOKING FOR - Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain). - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred. - Core Technical Skills: Strong proficiency in Python and/or C/C++. - Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML. - Full SW lifecycle experience: Demonstrated experience in taking research into production at scale. - Technical Leadership Experience: Previous experience tech leading computer vision projects. COMPENSATION & BENEFITS The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based in our San Francisco or Sunnyvale office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Europe; London Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE: We're looking for a Staff (L6) Product Designer to lead design for some of Synthesia's AI-native, agentic Sessions product surfaces. Sessions are the experiences where employees learn through conversation, companies lrun a survey at scale, and AI becomes a direct participant in how work gets done - not just a tool behind the scenes. This area is central to redefining what a video platform can be: moving upstream from content creation into workforce development, and making complex AI capabilities feel natural, trustworthy, and effective for everyday users. You'll operate as a senior IC: setting direction, influencing roadmap decisions, shaping bets with Product and Engineering leaders, and raising the craft bar. In practice, this role is about solving AI-native design problems, for example: - Designing real-time, conversational avatar experiences that feel engaging and natural - not robotic or gimmicky - for employees learning and practising skills at work. - Creating interaction patterns for AI-driven workflows that give users the right amount of control, transparency, and trust without overwhelming them with complexity. - Improving output quality through better structure, guidance, and feedback loops - helping users understand what the AI is doing, catch issues early, and iterate with confidence. - Working at the frontier where AI changes what "interaction" means, and the best patterns are genuinely still being invented. IN THIS ROLE YOU WILL: - Own major AI-native bets end-to-end, from problem framing to shipped outcomes and iteration. - Set a design vision for our "Sessions" surface, and influence adjacent product areas to stay coherent. - Partner closely with Product and Engineering to define what "great" looks like (principles, quality bar, success metrics) and then drive toward it. - Prototype and test interaction models quickly - including novel agentic and conversational patterns - and know when high-fidelity matters. - Raise the bar on craft: interaction design, UI quality, systems thinking, and consistency across AI-native experiences. YOU SHOULD APPLY IF YOU BRING: - Significant experience designing complex, high-usage product surfaces - ideally including AI-native products, agentic features, conversational interfaces, or products where the system takes meaningful autonomous action. - Strong craft in interaction design and visual design, and a track record of shipping work that measurably improves the product experience. - Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity. - Systems thinking: you understand how AI capabilities, model constraints, and product architecture shape what's actually possible in the UX - not just what looks good on a screen. - Excellent communication in design reviews and cross-functional decision-making contexts. - Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded. - A track record of tackling novel problems in maturing product spaces, and shaping the product from early-stage bets through to execution. - The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale. AT SYNTHESIA WE EXPECT EVERYONE TO: - Put the Customer First - Own it & Go Direct - Be Fast & Experimental - Make the Journey Fun You can read more about this in this public Notion page: https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2 BENEFITS - A flexible, remote friendly role based out of Europe or one of our hubs in London, Copenhagen, Munich, or Zurich. - 25 days of annual leave + public holidays in the country where you are based. - A generous referral scheme. - Work from home set up. - At Synthesia, you can work from anywhere (within reason) in the world for up to 60 days per year! - A huge opportunity for career growth as you’ll help shape a market-defining product.

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 Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems. You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members. This role combines substantial engineering work with technical leadership and delivery ownership.   WHAT YOU'LL DO - Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment. - Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards. - Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early. - Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost. - Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows. - Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling. - Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery. - Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures. - Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid. - Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.   WHAT WE'RE LOOKING FOR - Experience building, deploying and operating production software on a major cloud platform. - Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD. - Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code. - Experience with data pipelines, object storage, relational databases and reliable processing of large datasets. - Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely. - Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards. - Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work. - Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists. Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack. WHAT SUCCESS LOOKS LIKE? The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.   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: 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 believe personal robots will become part of everyday life, changing how people use their time and what they can do independently. Making that future possible is one of the most important challenges in AI and robotics. We're hiring a Chief Scientist to help shape the intelligence behind it. A useful personal robot must understand homes it has never seen, learn new tasks, handle unfamiliar objects, and work safely alongside people. These are fundamental problems with no established blueprint. You will help define the approaches that turn those capabilities into something people can rely on every day. Our hardware team brings experience from Boston Dynamics, Sanctuary AI, Apptronik, Agility Robotics, and 1X. This is an opportunity to build on lessons from across the field, working alongside engineers who understand the challenges of developing humanoid robots and bringing AI, hardware, and product together. Reporting to the CTO and working closely with the VP of AI and CEO, you will set scientific priorities, build an exceptional team, and guide advances from early experiments through to deployment. The role offers the opportunity to lead AI for our biped program and develop capabilities that can be shared across our industrial and bipedal platforms. WHAT YOU'LL DO - Define the scientific direction for embodied intelligence, with a particular focus on biped AI, and identify the technical advances that matter most to useful robot capabilities. - Build and mentor a team of scientists and engineers specialising in robot learning and deep learning, and help develop the team's technical leaders. - Evaluate promising approaches in robot learning, world models, dexterous manipulation, whole-body loco-manipulation, and 3D perception, choosing methods according to evidence and the problem at hand. - Explore learning loops that turn real-world robot data into simulation environments, train and evaluate capabilities in simulation, and deploy improvements back to robots, including opportunities for agents to automate experimentation. - Work closely with AI, engineering, and product teams, including the biped hardware team in Vancouver, to integrate advances into reliable systems and share capabilities across platforms. - Set rigorous evaluations and milestones for generalisation, reliability, data efficiency, and human-robot interaction; adapt priorities as experiments and deployment reveal what works. - Share the team's technical work through publications and conferences, and develop collaborations with academic and industry partners. WHAT WE'RE LOOKING FOR - A record of significant contributions to AI, deep learning, robot learning, or a closely related field, demonstrated through publications in leading venues, methods adopted by others, or deployed systems. - Deep expertise in one or more relevant areas, such as robot learning, world models, manipulation, whole-body control, 3D perception, or simulation and learning for physical systems. We welcome adjacent expertise with a compelling connection to embodied intelligence. - Experience defining scientific roadmaps, selecting promising technical approaches, and leading ambitious programs through uncertainty. - A track record of recruiting and mentoring outstanding scientists and engineers in academia, industry, or both. - A commitment to turning scientific advances into useful, reliable robots, including the evaluation, integration, and engineering work required for deployment. - The ability to collaborate across disciplines, explain complex technical ideas clearly, and make sound decisions with engineering, product, and company leadership NICE TO HAVE - Experience founding or helping build an AI or robotics company, or translating scientific advances into a successful commercial program. - Experience working across academic institutions and industrial AI organisations. - Direct work on humanoid or bipedal robots, generalisation in home environments, or human-robot interaction. - Experience with real-to-sim-to-real learning loops, agent-assisted experimentation, or building and leading AI teams working closely with hardware.   WHAT WE OFFER - The opportunity to help shape a new category of technology, from the way robots learn to how they become useful in people's homes. - Direct access to founding leadership, meaningful influence on technical and product direction, and the opportunity to build an exceptional team. - Competitive equity: stock options with meaningful upside as we scale. - Compensation and benefits tailored to the role's scope and employing location, with details agreed during the hiring process.

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. We are building a world-class robotics organisation across London, Vancouver and Boston to solve some of the hardest problems in humanoid robotics, including integrating complex hardware, embedded systems, AI, and large-scale robotic platforms into cohesive, production-ready systems. If you are excited about driving large-scale, cross-functional robotics programs from concept to real-world deployment, then we're keen to hear from you. About the role (Intro): As a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development projects, ensuring predictable delivery of our highly integrated humanoid systems and our roadmap of capabilities for deployment at customer sites. You will lead cross-functional development with an emphasis on software/AI on new hardware, coordinating closely with our teams in Boston, Vancouver, and San Diego. This is a high-impact role requiring strong technical judgment, systems thinking, and the ability to drive execution across deeply interdependent teams. Establish processes that work The nature, method, and velocity of software development is changing fast. Yet the iron triangle of project management (scope, schedule, budget) remains. The TPM must apply, build, and evolve processes and tools to manage this. What Makes This Role Exciting - Drive execution of next-generation humanoid robot programs from concept to deployment - Work at the intersection of hardware, embedded systems, AI, robotics, and production - Coordinate globally distributed engineering teams spanning multiple time zones - Tackle the complex challenges of scaling robotics systems into products that work in the real world What you'll own: Own the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you'll be accountable for scope, schedule, cost, and process. Your portfolio includes software and hardware projects, all of which are deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more. Drive execution Track and motivate project progress end-to-end, coordinating across many teams, sites, and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritise, and clear blockers. Lead people and stakeholders Empathise with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimised for the real challenges of collaborating across distances, cultures, and time zones. Bring judgment Based on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritisation, and guidance to your teams. Embody the culture Roll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success at Humanoid because we're all in this together. Never settle for the status quo and play a key role in proactively improving our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders. What we're looking for from you: - 3+ years of relevant post-graduate experience as a project or program manager for development of leading-edge software product development - Bachelor's or Master's degree in a technical field relevant to software, AI, or robotics - Technical background in development of complex systems that integrate new hardware, firmware, and software - Experienced in modern tech software development processes and tools - Exposure to hardware development and new product introduction - Proficiency with multiple program management methodologies and tools - Proven ability to create structure and clarity in ambiguous, fast-paced environments, managing influential stakeholders - Strong organisational skills with the ability to manage multiple complex workstreams simultaneously - Impressive written and verbal communication skills, both synchronous and asynchronous - Demonstrated ability to lead through influence across diverse teams - Ability to remain calm, structured, and effective under pressure, including with executive stakeholders - Strong ability to understand and communicate complex technical concepts - Systems-thinking mindset with strong problem-solving capabilities - Adept applying AI to project management and development workflows - Flexibility to shift hours as needed to collaborate with our international team Bonus Qualifications - Experience in robotics, autonomous systems, or advanced hardware companies - Experience in production development - Experience working in speed-focused startup environments - Experience across end-to-end lifecycle, from R&D to production - Experience working with globally distributed teams Why Join Humanoid - Competitive salary plus participation in our Stock Option Plan - Collaboration with top-tier engineers, researchers, and product experts in AI and robotics - Freedom to influence the product and own key initiatives - Ability to solve some of the most complex engineering challenges in robotics for the real world - Meaningful time off to rest and recharge: 23 days of annual leave, plus bank holidays and concessionary days over the Christmas period. - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support - Free daily catered lunch, snacks, and drinks in-office How to Apply Does this role sound like the perfect fit for you? If it does, then please apply here, complete the application process and we'll be in touch soon!

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: At Humanoid, we are working from a simple hypothesis that AI is rapidly transforming engineering. The bottlenecks are shifting from writing code to how efficiently AI-authored changes can be verified. We’re looking for an Engineering Lead to own developer productivity in the age of AI and agents. You’ll build the platform that lets our engineers move faster with coding agents while protecting our code, infrastructure, and robots. You’ll give developers and agents the environments, context, and tools to work effectively, and build verification and security into the path from task to healthy deployment. This means rethinking how engineering work gets done, not just adding agents to existing processes, and establishing the access controls, isolation, and monitoring needed to guard against mistakes, misuse, and new security threats. This is a hands-on leadership role and the keystone hire for a new developer productivity team. You’ll build the critical systems yourself, recruit and lead engineers, and work across Developer Tools, Security, Safety, Simulation, and robot software. Success means increasing engineering output while reducing cost and human review per accepted change, without increasing defects or safety risk. What you'll do: - Own the path from an agent task to a healthy deployed change, including acceptance criteria, execution, verification, merge, rollout, monitoring, and rollback. - Build secure, reproducible agent runtimes with task-scoped identity, short-lived credentials, bounded access, cost controls, and re-playable execution records. Proactively detect unauthorized agent activity across our compute clusters, whether internal or external. - Build the interfaces developers use to launch, monitor, and control agents, alongside tooling for agents to collaborate through shared memory, coordinated work, and appropriately authorized access to company resources. - Reduce the tokens and retries required for accepted work through better context assembly, model and tool routing, caching, task decomposition, and feedback. - Give agents fast access to builds, tests, simulation, replay, and hardware-in-the-loop, with acceptance criteria they cannot alter. - Work with engineering teams to make the codebase easier to navigate and verify through clear interfaces, strong invariants, reproducible environments, fast local checks, and well-documented implementation paths. - Recruit and lead the team while remaining hands-on. Measure success through cost per accepted change, human review time, escaped defects, and time from push to healthy on the robot. What we're looking for: - Experience building and operating developer tooling or infrastructure used across engineering teams, such as build systems, CI/CD, test infrastructure, deployment pipelines, or internal platforms. - Strong software engineering skills and comfort working in large codebases or monorepos. - Practical experience with Linux, containers, and cloud infrastructure, plus working knowledge of Kubernetes. - Hands-on experience using and integrating coding agents into real engineering workflows. You understand how context, tools, and evals affect reliability, latency, and cost, and can talk concretely about what worked and what didn’t. - Sound security judgment around workload isolation, identity, permissions, and credentials. You can design appropriate boundaries for agents accessing code, infrastructure, and company resources. - Experience building reliable automated tests or verification systems and diagnosing failures across code, tooling, and infrastructure. You have good judgment about what automated checks establish and where human review still matters. - Experience leading engineers while remaining hands-on. You can set technical direction, recruit a strong team, and turn an ambitious goal into systems that engineers use and trust. 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: Espoo Workplace: OnSite Role highlights: - Location: Espoo, Finland - Department: Production Finland - Reports to: Yogesh Yadav - Employment type: Permanent - Workplace model: Onsite - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: We are looking for a Senior Mechanical & Thermal Production Technician to strengthen our satellite production operations as we scale toward standardized, repeatable, high-volume manufacturing. In this hands-on role, you will independently execute complex assembly, subsystem integration, and thermal verification testing following detailed work instructions and AIT procedures. You will act as a technical anchor for your assigned production area, ensuring workstation readiness and driving frontline troubleshooting alongside Specialists and AIT Engineering. We seek a proactive technical leader who takes full ownership of build activities, models high standards of quality and ESD compliance, and coaches technicians to elevate team capabilities and process stability. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities   - Perform and support mechanical assembly, integration, and testing of precision, high-value hardware. - Take ownership of day-to-day technical readiness in your assigned production area, including tools, fixtures, work instructions, and workstation setup. - Provide practical guidance, troubleshooting support, and on-the-job coaching to technicians, helping them build confidence and independence. - Collaborate with Senior Technician, Production Line Owners, and AIT Engineering to investigate root causes and implement corrective actions for build issues and non-conformances (NCs). - Identify bottlenecks, recurring defects, unnecessary handling, and sources of rework; work with the team to implement improvements and check their effectiveness. - Apply Lean and 6S principles to create safe, organized, ergonomic, and efficient workstations. - Review and refine work instructions, travelers, and checklists to capture redlines and improve procedural clarity and manufacturability. - Support the transition from prototype and low-volume builds to repeatable production by capturing lessons learned and helping establish reliable processes. - Improve throughput while protecting safety, quality, and a sustainable working pace. Raise capacity or workload concerns early and help address their underlying causes. - Build support for process changes by involving the people doing the work, explaining the reasons, and incorporating their feedback. - Work with engineering and quality teams to resolve production issues and introduce process changes through the appropriate review and approval steps. What we’re looking for Must haves: - At least 3 years of hands-on experience in mechanical assembly, integration, or production, with demonstrated ability to work independently on complex hardware. - Experience in a quality-critical or complex manufacturing environment, such as space, aerospace, automotive, robotics, or industrial automation. - Demonstrated ownership of a production activity, workstation, or technical problem, including coordinating support and following actions through to completion. - Working knowledge of Lean manufacturing and 6S, supported by practical examples of improving workstation organization, workflow, or standard work. - Hands-on experience with rework and repair of aerospace mechanical structures, including aluminum components and helicoil (threaded insert) installation and replacement. - Confident use of precision hand tools, torque tools, and measuring equipment, with the ability to interpret mechanical drawings, tolerances, and work instructions. - A solid practical understanding of mechanical assemblies, fastening methods, alignment, and safe hardware handling. - Experience coaching technicians and collaborating with experienced peers, with a clear, respectful, and practical communication style. - Ability to learn production processes quickly, identify improvement opportunities, and turn them into workable solutions with the team. - A mindset focused on repeatability, documentation, and knowledge sharing as production scales. - Willingness and ability to work onsite in Espoo in production and integration environments. - Collaborates with stakeholders to complete the tasks - A mindset to adapt quickly with the fast paced environment of ICEYE. Nice to haves: - Experience with satellite or spacecraft mechanical assembly, integration, or testing. - Experience helping a team transition from prototype or low-volume builds to standardized, higher-volume production. - Experience creating or improving work instructions, visual standards, training materials, or workstation layouts. - Familiarity with structured problem-solving and root-cause analysis, including Six Sigma tools. - Basic knowledge of electronics or mechatronics. - Experience transferring production processes or sharing best practices across multiple sites Application Process - Recruiter Interview - Hiring Manager Interview - Task - 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—we’ll 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale. We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love. You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators. This role is a fundamental and critical part of the team at a market-defining company in its early stages. What you’ll do - Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market - Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities - Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way - Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features - Talk with users weekly to uncover use cases and turn feedback into product decisions - Drive pricing and GTM strategy in partnership with business teams What you’ll need - 4+ years of product management experience, including taking products from zero to one - A strong technical foundation, typically demonstrated by things like the following: - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product) - Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices - Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers - Experience in fast-moving teams, with comfort operating amid ambiguity - Excellent written and verbal communication skills Nice to have - Experience with generative AI, creative tools, or media products - Experience owning pricing or GTM for a product Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024