Robotics Systems Engineer

Stealth Startup; San Francisco (CA); On-site; USD 55,000 - 110,000; Full time

Benefits offered by this job

On-site 5 days a week

Job summary

Stealth Startup is seeking a hands‑on Robotics Systems Engineer to build and operate the robotic platforms behind our research in the Bay Area. You will contribute across hardware, embedded systems, robot software, communications, data collection, evaluation, and deployment, debugging sensors, actuators, and learned-policy integration.

You will collaborate with ML researchers to deploy learned policies on physical robots, develop robust drivers and diagnostics, and improve system reliability

Qualifications

• Bachelor or Master’s degree in robotics, CS, or related field.
• Experience integrating or operating complete robotic systems.
• Proficiency with Linux, Git, and Python or C++.
• Familiarity with ROS/ROS2 and ZMQ or similar frameworks.
• Experience with sensors, actuators, embedded electronics, networking, and robot system design.
• Understanding of robot-learning workflows and hardware needs.
• Experience with robot data collection or evaluation software.
• Strong cross-stack debugging and problem-solving skills.
• Comfortable working in a fast-moving environment and owning ambiguous problems.

Responsibilities

• Bring up, integrate, and maintain humanoids, robotic arms, and custom platforms.
• Debug mechanical, electrical, networking, communication, and software failures.
• Integrate and help design sensors, actuators, motor controllers, embedded devices, compute, wiring, and power systems.
• Develop robot drivers, hardware interfaces, diagnostics, and automation in Python or C++.
• Build distributed robotics software using ROS, ROS 2, ZMQ, and related technologies.
• Maintain teleoperation, robot data collection, dataset validation, and policy-evaluation software.
• Perform calibration, functional testing, reliability testing, and performance characterization.
• Develop logging, monitoring, health checks, and fault-recovery tools.
• Work with ML researchers to deploy and evaluate learned policies on physical robots.
• Improve system reliability, performance, safety, and maintainability.
• Use AI coding agents to accelerate implementation, testing, debugging, and documentation.

Skills

Cross-stack debugging

Problem solving

Rapid learning

Education

BS or MS in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Science, or related field

Tools

ROS

ROS2

ZMQ

Git

Python

C++

Job description

Must be located near the Bay Area, with reliable transport to San Francisco, CA.

About Us

We are a well-capitalized stealth startup building robotic foundation models and world models for Physical AI. Founded by researchers from leading AI labs, our team works across robot hardware, data, infrastructure, and machine learning.

The Role

We are looking for a hands‑on Robotics Systems Engineer to build and operate the robotic platforms behind our research.

You will work across hardware, embedded systems, robot software, communications, calibration, data collection, evaluation, and deployment. This role is broader than mechatronics: you should be comfortable debugging the complete system, from sensors and actuators, close loop control, and learned‑policy evaluation.

Responsibilities

• Bring up, integrate, and maintain humanoids, robotic arms, and custom platforms.

• Debug mechanical, electrical, networking, communication, and software failures.

• Integrate and help design sensors, actuators, motor controllers, embedded devices, compute, wiring, and power systems.

• Develop robot drivers, hardware interfaces, diagnostics, and automation in Python or C++.

• Build distributed robotics software using ROS, ROS 2, ZMQ, and related technologies.

• Maintain teleoperation, robot data collection, dataset validation, and policy‑evaluation software.

• Perform calibration, functional testing, reliability testing, and performance characterization.

• Develop logging, monitoring, health checks, and fault‑recovery tools.

• Work with ML researchers to deploy and evaluate learned policies on physical robots.

• Improve system reliability, performance, safety, and maintainability.

• Use AI coding agents to accelerate implementation, testing, debugging, and documentation.

Qualifications

• BS or MS in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Science, or a related field.

• Experience integrating or operating complete robotic systems.

• Proficiency with Linux, Git, and Python or C++.

• Familiarity with ROS, ROS2, ZMQ or similar communication frameworks.

• Familiarity with sensors, actuators, embedded electronics, networking, and robot system design.

• Understanding of robot‑learning workflows and their hardware and electronics requirements.

• Experience with robot data collection or evaluation software.

• Strong cross‑stack debugging and problem‑solving skills.

• Experience using AI coding agents such as Claude Code, Codex, or comparable tools, including reviewing and validating generated code.

• Comfortable working in a fast‑moving environment and taking ownership of ambiguous problems.

Nice to Have

• Experience with humanoids, manipulators, quadrupeds, or mobile robots.

• Experience with teleoperation or learned‑policy deployment.

• Familiarity with CAN, EtherCAT, DDS, SPI, UART, or real‑time systems.

• Embedded programming experience with STM32, ESP32, Raspberry Pi, Jetson, or similar platforms.

• Experience with camera, tactile, force‑torque, encoder, or IMU integration and calibration.

• Familiarity with multimodal data synchronization, experiment tracking, and robotics evaluation metrics.

• CAD, machining, wiring, soldering, or rapid‑prototyping experience.

What You Will Gain

• Build advanced robots alongside experienced AI researchers and roboticists.

• Work across the complete robot‑learning stack, from hardware to foundation models.

• Help shape the systems and engineering practices of an early‑stage robotics company.

Hiring Process

1. Introductory conversation.

2. Technical interview.

3. One‑day paid work trial at $40 per hour.

4. Initial six‑month contract with strong potential for a longer‑term opportunity.

Logistics & Benefits

• Location: San Francisco, CA (South Beach/SoMa) — on‑site 5 days a week

• Schedule: Full‑time, 40 hours/week, including a 30‑minute lunch break

• Employment: W‑2, facilitated through Hire.io

• Compensation: $40+/hour, negotiable based on experience