--- title: 'Robotics Engineer - Navigation focus at General Robotics' canonical: 'https://feeny.ai/job/robotics-engineer-navigation-focus-general-robotics-redmond-kvrh2v2fym27' type: 'job' last_seen: '2026-09-09' --- # Robotics Engineer - Navigation focus at General Robotics - **Company:** General Robotics - **Location:** Redmond, WA - **Employment:** full-time - **Posted:** 2026-05-26 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/generalrobotics/f20e520c-e259-4f4d-9d38-142b57495d3f ## Job description About the Role: We are looking for strong candidates who have a background in robotics and machine learning, especially with experience in SLAM, robot navigation (classical or learning-based), and geometric foundation models (e.g. VGGT, MapAnything, etc). You will work across research and engineering, from defining research problems and developing new methods to training, simulation, evaluation, and deployment-oriented experimentation. ## Responsibilities - Develop new methods and systems that advance the state of the art in robotics, 3D perception, navigation, and foundation models. - Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation). - Build efficient robotics pipelines integrating sensor fusion, perception models, geometric reasoning, and model inference. - Define research goals informed by practical engineering concerns. - Design high fidelity simulation environments that advance sim-to-real transfer and enable faster iteration cycles for deploying new robots. - Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results. - Partner with customers to deploy robots with navigation capabilities in real production environments. - Contribute to publications and open-sourcing efforts. ## 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 - Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Direct experience in robotics, computer vision, or machine learning research. - First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL). - Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others. - Experience building efficient robotics pipelines involving sensor fusion and model inference - Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection. - Good understanding of systems considerations and the ability to factor these into model 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. [General Robotics Careers Page](https://jobs.ashbyhq.com/generalrobotics) (via Ashby) ## Other roles at General Robotics - [Robotics Engineer - Teleoperation focus](https://feeny.ai/job/robotics-engineer-teleoperation-focus-general-robotics-redmond-jcvkes0gk6e1) — Redmond, WA - [Robotics Engineer - Humanoids focus](https://feeny.ai/job/robotics-engineer-humanoids-focus-general-robotics-redmond-ctva4539m4e0) — Redmond, WA - [Robotics Engineer - Manipulation focus](https://feeny.ai/job/robotics-engineer-manipulation-focus-general-robotics-redmond-qq66w56t1e01) — Redmond, WA - [Content Creator](https://feeny.ai/job/content-creator-general-robotics-redmond-g2cmxeneb08g) — Redmond, WA - [Robotics Engineer - Singapore: AI Specialist](https://feeny.ai/job/robotics-engineer-singapore-ai-specialist-general-robotics-singapore-t8tm4xrwx1we) — Singapore - [Robotics Engineer - Singapore: Field Robotics Specialist](https://feeny.ai/job/robotics-engineer-singapore-field-robotics-specialist-general-robotics-singapore-ee1k46mt98z3) — Singapore - [Robotics Engineer - Singapore](https://feeny.ai/job/robotics-engineer-singapore-general-robotics-singapore-c8je0ny8s1ky) — Singapore - [Robotics Engineer](https://feeny.ai/job/robotics-engineer-general-robotics-redmond-r4fv7x25cst0) — Redmond, WA - [Systems Engineer - Machine Learning](https://feeny.ai/job/systems-engineer-machine-learning-general-robotics-redmond-f942cfpd1wm3) — Redmond, WA - [Systems Engineer](https://feeny.ai/job/systems-engineer-general-robotics-redmond-g2n471cwbz3b) — Redmond, WA