Drimva

The Allen Institute for AI

Robotics Engineer

$129K–$193K

Seattle, WA +1 · Full-time · Posted Apr 28, 2026

Location
Seattle, WA
Seattle, WA, United States
Experience
Master’s plus 3 years of experience, or a PhD; exceptional candidates with a bachelor’s degree and 3+ years of industry experience are also welcome.
Education
Master’s in robotics or a relevant field, or PhD in robotics or a relevant field; exceptional candidates with a bachelor’s degree and 3+ years of industry experience are also welcome.
Visa sponsorship
The employer participates in E-Verify to confirm work authorization in the U.S. Applicants from outside the United States are welcome.

About the job

Build and maintain robotics control and simulation systems, transfer learned policies from simulation to real hardware, and work with researchers to make robotic behavior reliable in practice.

What you'll do

  • Develop control stacks, including low-level control, motion planning, and learned-policy integration.
  • Maintain sim-to-real pipelines and lead robot setup, integration, calibration, and tuning.
  • Debug hardware, software, and runtime behavior; collaborate with researchers and support GPU-accelerated experimentation.

What they ask for

  • Proficiency in Python and modern robotics or simulation ecosystems.
  • Strong experience with physical robots or robotic simulation.
  • Development and debugging skills across perception, planning or inference, control, and hardware.
  • Clear communication, effective research-team collaboration, and a structured, systems-oriented approach.

Nice to have

  • Experience with real-time control, control theory, dynamics, and system identification.
  • Experience with simulation-to-real methods, large-scale simulation, or reinforcement learning pipelines.

Pay

$128,880 - $193,320 USD base salary

Tools

Python

AI focus

Support robot-learning research by deploying learned policies, building sim-to-real pipelines, and enabling large-scale learning in GPU-accelerated simulation; research interests include robot foundation models and skill learning.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)