Member of Technical Staff - Robotic Systems Engineer

Perceptron
Perceptron

Software Engineering, IT

USD 120k-250k / year + Equity

Posted on Jun 7, 2026

Member of Technical Staff - Robotic Systems Engineer

We’re seeking an exceptional Roboticist / Robotic Systems Engineer to build and deploy robotic embodiments for embodied AI research, integrating hardware and software to run VLMs and VLAs, enable teleoperation and data collection, and support rapid iteration between real-world robots and learning systems.

The Opportunity

As a Robotic Systems Engineer on our team, you’ll own the full lifecycle of embodied platforms used for research. You’ll help bring up new robot embodiments, integrate learning-based models, and create the infrastructure that enables rapid iteration between robot deployment, data collection, model training, and evaluation.
Your work will span:
Robotic Embodiments & Integration
Build, integrate, and deploy open- and closed-source robotic platforms, spanning actuation, sensing, compute, and software stacks
VLM / VLA Deployment
Deploy and evaluate vision-language models (VLMs) and vision-language-action models (VLAs) on real robotic systems, including adapting open-source VLAs such as GR00T, OpenVLA, and related frameworks to new embodiments and tasks
Simulation & Model-in-the-Loop Development
Use simulation environments such as Isaac Sim to develop, test, and validate robotic behaviors, and to support sim-to-real iteration
Teleoperation & Data Collection Systems
Design and implement teleoperation and mixed-autonomy systems—including VR/MR-based interfaces (e.g., Apple Vision Pro, Meta Quest 3)—to enable scalable, high-quality robot data collection
Controls, Autonomy & Feedback
Implement and tune control, state estimation, and autonomy components that support stable, repeatable robot behavior in real-world environments
Reliability, Observability & Debugging
Build tooling, diagnostics, and processes that maximize robot uptime and accelerate debugging across mechanical, electrical, firmware, and software layers

What You’ll Bring

BS, MS, or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or equivalent practical experience
Strong system-level understanding of robotics hardware, firmware, and software layers
Proficiency in Python and/or C++ for production robotics systems
Hands-on experience integrating and debugging robots that operate in the physical world
Experience with robotics frameworks and tooling (e.g., ROS / ROS2, simulation environments)
Comfort working across perception, control, and infrastructure boundaries
Strong debugging instincts and an ownership mindset for complex, cross-disciplinary systems

Ideal Candidates Will Also Have

Experience deploying robots outside the lab, including field testing or production environments
Familiarity with VLMs, VLAs, imitation learning, or data-driven robotics workflows
Experience with real-time systems, embedded platforms, or edge compute constraints
Experience with simulation tools such as Isaac Sim or hardware-in-the-loop testing
Background building teleoperation or VR/MR-based robot control interfaces
Experience collaborating closely with research teams to co-design models and robotic systems
Join us in building robotic systems that tightly couple real-world deployment and learning, enabling robots to continuously improve through interaction with the physical world.

Compensation

At Perceptron, we offer competitive benefits including:
For this role, a base salary of $120,000 to $250,000 (Please note: Starting salary may depend on location and level of experience)
Medical, dental, and vision insurance; paid time off and company holidays; equity/stock options; in-office perks at our Bellevue, WA headquarters.
Location: Bellevue, WA
EQUAL OPPORTUNITY STATEMENT
Perceptron is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. All hiring decisions are based on qualifications, merit, and business need.

Apply

If you’re excited to build, learn, and ship at the frontier of physical AGI—apply here.