--- title: 'Robotics Engineer - Manipulation focus at General Robotics' canonical: 'https://feeny.ai/job/robotics-engineer-manipulation-focus-general-robotics-redmond-qq66w56t1e01' type: 'job' last_seen: '2026-09-09' --- # Robotics Engineer - Manipulation focus at General Robotics - **Company:** General Robotics - **Location:** Redmond, WA - **Employment:** full-time - **Posted:** 2026-09-09 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/generalrobotics/fe8a5cf8-0932-49a5-9a29-82b7a9d9dac2 ## Job description ## About this Role We're hiring Robotics Engineers to bring state-of-the-art manipulation methods into the GRID platform. You'll work at the frontier of autonomous manipulation, building production-grade policies that generalize across embodiments — from fixed-base robotic arms and mobile manipulators to humanoids. This is a role for engineers who want their research to ship. You'll move between training runs, simulation, and real hardware in customer environments. ## Responsibilities - Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models. - Define research goals informed by practical engineering concerns. - Train, adapt, and deploy manipulation foundation models — vision-language-action (VLA) policies, world action models (WAMs), reinforcement learning, and agentic robot policies. - Build synthetic data generation pipelines on high-fidelity simulation platforms, and drive sim-to-real transfer. - Develop data collection, training, and evaluation pipelines as production-quality code: extensible, well-documented, and usable by engineers outside your team. - Run experiments end to end — experimental design, reusable implementations, model evaluation, and clear reporting of results. - Contribute to publications and open-source releases. - Partner with customers to take manipulation capabilities from prototype to deployed product. ## Minimum Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Research experience in machine learning, robotics, and computer vision. - Experience with developing robotics algorithms or machine learning models at scale. - Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax. - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Desired Qualifications - MS or PhD in Robotics, Computer Science, Computer Engineering, or a related technical field. - Direct research experience in robot learning, computer vision, or machine learning. - First-author publications at peer-reviewed AI and robotics venues (NeurIPS, ICML, ICLR, CVPR, ICRA, IROS, CoRL). - Hands-on experience with modern manipulation policies — VLAs, world action models, reinforcement learning, imitation learning, diffusion or flow-matching policies, or agentic robot policies. - Experience with high-fidelity simulators such as NVIDIA Isaac Sim, MuJoCo, ManiSkill, AirSim, or CARLA, including domain randomization and sim-to-real workflows. - Familiarity with modern perception stacks and sensing modalities: RGB and RGB-D cameras, LiDAR, 3D representations (point clouds, meshes), and segmentation, detection, and tracking. - Judgment about systems constraints — latency, throughput, compute budget, memory — and the ability to factor them into model and architecture choices. ## About General Robotics General Robotics is building the intelligence grid for physical AI — the platform that makes any robot, from robotic arms to humanoids, genuinely intelligent. Headquartered in Redmond, Washington, we're venture backed, including by Accenture, who invested in General Robotics in 2026 to advance Physical AI-powered robotics in manufacturing and logistics, and we're also part of Microsoft's Startups Pegasus Program. Our team's work spans some of the most widely adopted robotics and AI research to come out of Microsoft Research, Google Research and DeepMind — including AirSim, PACT, ClimaX, Tensorflow Object Detection and VideoPoet. Work Authorization This role is open to candidates currently based in and authorized to work in the US. ## Equal Opportunity Employer General Robotics is an equal opportunity employer. We do not discriminate on the basis of any status protected by applicable law. Accommodations If you need a reasonable accommodation during the application or interview process, please contact: HR@GeneralRobotics.company ## About General Robotics ## Company Overview - **One-liner**: General Robotics is an AI research and deployment company building the “intelligence grid” for physical AI, enabling modular, adaptable intelligence for any robot form, task, or environment. - **Entity Type**: Private (Seed stage) - **Headquarters**: Redmond, Washington, United States - **Founded**: 2023 - **Founders**: Ashish Kapoor (CEO), Sai Vemprala (CTO), Dinesh Narayanan (Co-founder, departed Feb 2026), Shuhang Chen (Co-founder) ## Core Business - **Primary industry**: Physical AI, robotics software platform, enterprise AI/robotics infrastructure - **Target customers**: Large organizations in manufacturing, logistics, and other sectors deploying robot fleets; B2B, Enterprise - **Mission or purpose**: “Making every robot useful, fast” – by providing a platform that composes modular AI skills for perception, planning, and action across diverse robot morphologies ## Products & Services - **GRID (Intelligence Grid)**: A unified development and deployment platform for general-purpose robot intelligence. It offers pre-trained AI skills, simulation integration (AirGen, Nvidia Isaac Sim), reinforcement learning workflows, and agentic architecture for skill composition. Enables deployment from prototype to production in under 15 minutes, supporting up to 25,000+ concurrent robot requests across cloud, on-prem, or edge. ## Market Standing - **Valuation**: Not publicly available - **Key Metric**: Total funding – Seed round led by Accenture Ventures (announced April 15, 2026); also selected for Microsoft for Startups Pegasus Program (November 2025). Amounts not disclosed. - **Notable Investors/Partners**: Accenture Ventures (lead investor), Microsoft (Pegasus program), NVIDIA (simulation integration) - **Growth Signals**: 31 employees (as of mid-2026), with offices in Redmond (HQ), India, and South Korea. Traffic to website grew 56.9% month-over-month. Engaged in national robotics policy discussions (Congressional Robotics Caucus). Partnerships with Accenture for physical AI in manufacturing/logistics. ## Competitive Advantages - **Modular skill composition**: Unlike monolithic models, GRID uses composable, interpretable, and safety-first AI skills that can be mixed and matched for any robot type. - **Speed to deployment**: From prototype to deployment in under 15 minutes; quick adaptation (<1 day) using simulation feedback. - **Multi-morphology support**: Works with humanoids, arms, quadrupeds, wheeled, and aerial robots. - **Safety-by-design**: Built-in blame assignment and interpretability mechanisms for accountable behavior. ## Strategic Focus - Scaling the platform to large enterprise deployments, especially in manufacturing and logistics (via Accenture partnership). - Expanding the marketplace of pre-trained AI skills and OEM integrations. - Engaging with government (U.S. National Robotics Strategy) and research community (foundation in deep learning, safety, and simulation). - Building out the team and presence globally (Singapore office, India). ## Why Work Here - **Culture**: “We’re scientists, engineers, and builders” – backgrounds from Microsoft, Google, Carnegie Mellon, and open-source projects (AirSim, TensorFlow Object Detection, ChatGPT for Robotics). Emphasis on research, safety, and practical impact. - **Work policy**: Hybrid (in-office expectation for Redmond, WA; also in-office in Singapore. Some roles listed as “In-Office” on Built In). - **Perks**: Not explicitly listed, but team is small (31) with flat structure; opportunities to shape the platform from early stage. - **Engineering culture**: Deep learning, simulation, and deployment engineering; strong cross-disciplinary collaboration (research, product, customer success). - **Hiring**: Currently few open positions (as of July 2026); the company values “curious minds from a wide range of disciplines.” ## Sources 1. [General Robotics Website](https://www.generalrobotics.company/) 2. [General Robotics LinkedIn](https://www.linkedin.com/company/gen-robotics) 3. [General Robotics Newsroom](https://www.generalrobotics.company/newsroom) 4. [Built In Company Profile](https://builtin.com/company/general-robotics) 5. 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