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Robotics Engineer

General Robotics

Company websitegeneralrobotics.company (General Robotics, opens in new tab)

Base salary $155K  to $205K

Employer-published annual base salary, USD. Advertised base range in Redmond, WA

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  • LocationRedmond, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (56 min ago) · observed since

About this job

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: [email protected]

Source: General Robotics on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($155,000) is above 69% of the 519 Engineering (non-software) roles in Washington listed on this site. Their median floor is $136,000; the middle half runs from $119,600 to $159,200.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 4 other live General Robotics roles with the nearest advertised base floor
Chart as a table
This range next to 4 other live General Robotics roles with the nearest advertised base floor
RolePublished base
Robotics Engineer (this listing)$155K - $205K
Systems Engineer - Machine Learning$155K - $200K
Systems Engineer$155K - $205K
Senior 3D Technical Artist/Creative Technologist$155K - $205K
Social Media Lead$120K - $140K

Same $100K to $400K scale as every card. All General Robotics roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-04-08
Where this pay comes from

Location as the employer wrote it: Redmond, WA

The anticipated base salary for this position is $155,000 – $205,000. Your actual pay will be based on factors such as skills, e

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.