---
title: 'Robotics Engineer at General Robotics'
canonical: 'https://feeny.ai/job/robotics-engineer-general-robotics-redmond-r4fv7x25cst0'
type: 'job'
last_seen: '2026-09-09'
---

# Robotics Engineer at General Robotics

- **Company:** General Robotics
- **Location:** Redmond, WA
- **Employment:** full-time
- **Posted:** 2026-04-08
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/generalrobotics/78abd116-9842-4c40-9649-a73e1573f2e8

## Job description

## About General Robotics

General Robotics is building the future of general robot intelligence. Our mission is to enable the rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. Our core platform, GRID, provides a comprehensive library of robot skills through a fast, cloud-native runtime designed to make any robot intelligent—including aerial, wheeled, humanoid, quadruped, and robotic arms. We are seeking Robotics Engineers to join our team to integrate our technology onto physical hardware and lead customer deployments. This role offers a front-row seat to the transformative impact of Physical AI and the opportunity to collaborate with a world-class team of AI and robotics pioneers.

## Responsibilities

- System Integration: Independently set up robots for real-world deployments, including integrated edge compute and sensor suites.
- Model Deployment: Deploy state-of-the-art AI models and techniques on physical hardware; lead field deployment and evaluation efforts.
- Experimental Design: Design, execute, and analyze experiments with rigorous, well-defined hypotheses.
- Data Engineering: Design data collection routines to acquire high-quality data from field tests for model fine-tuning.
- Technical Literacy: Maintain a deep understanding of model architectures and their effects on real-world performance, specifically regarding computer vision and machine learning from a robotics perspective.
- Systems Optimization: Account for common systems constraints—such as bandwidth, compute, and latency—when making modeling choices. Identify and implement optimization opportunities to improve performance on edge compute devices.
- Cross-functional Collaboration: Work closely with AI and Simulation Engineers to transition new techniques to the field; communicate critical insights and metrics from real-world testing.
- Platform Growth: Translate field-tested patterns and learnings into scalable, streamlined capabilities within the GRID platform.

## Minimum Requirements

- Master’s degree (completed or in progress) in Robotics, Computer Science, or a related technical field, or equivalent practical experience.
- Current and ongoing work authorization in the country of employment.
- 2+ years of experience in the development and implementation of robotics, machine learning, or control algorithms.
- Strong proficiency in robotics hardware/software stacks (e.g., ROS/ROS2) and programming languages (e.g., Python, C++).
- Demonstrated experience implementing and evaluating end-to-end robot learning systems.
- Ability to travel to customer sites as needed.

## Preferred Qualifications

- Proven track record of building and deploying controllers, data acquisition pipelines, and machine learning or classical robotics algorithms on multiple robotic platforms.
- Experience utilizing constrained edge compute devices (e.g., NVIDIA Jetson) for data acquisition and model inference.
- Experience handling sensitive data and adhering to strict security protocols.

Base Salary Range The anticipated base salary for this position is $155,000 – $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.

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 - Navigation focus](https://feeny.ai/job/robotics-engineer-navigation-focus-general-robotics-redmond-kvrh2v2fym27) — Redmond, WA
- [Robotics Engineer - Singapore](https://feeny.ai/job/robotics-engineer-singapore-general-robotics-singapore-c8je0ny8s1ky) — Singapore
- [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