Robotics Software Engineer
RoboForce
Milpitas, CA · Posted September 24, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at RoboForce
More in California job market · Technology & Software · Engineering jobs
More roles at RoboForce
- Staff Research Engineer, Robot Learning Systems · Milpitas, CA
- Senior / Staff Manufacturing Engineer · Milpitas, CA
- Finance and Accounting Manager · Milpitas, CA
- Talent Acquisition Partner · Milpitas, CA
- Senior / Staff Robotics Engineer, Motion Planning · Milpitas, CA
- Senior / Staff AI Research Engineer, Data Infrastructure · Milpitas, CA
Similar jobs
- Senior Robotics Software Engineer (Integrated System Test, Sunnyvale) · Teradyne · Sunnyvale, CA
- Robotics Software Engineer - II/III · Sri International · Menlo Park, CA
- Senior Algorithm Engineer - Sensing Algorithms · Dexcom · CA
- Staff Algorithm Engineer - Advanced Sensing Algorithms · Dexcom · CA
- Staff Autonomy Systems Engineer · Joby Aviation · Concord, CA
- Autonomy Embedded Engineer · Joby Aviation · Santa Cruz, CA
Where Milpitas, CA ranks
Where Milpitas, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #12Best cities for mid-career professionals in the West Coast60% · of 71
- #17Best cities for manufacturing and industrial pay after cost of living$132k · of 35
- #19Best cities for pay after cost of living in California$149k · of 32
- #20Best all-round cities for mid-career professionals in the West Coast46 / 100 · of 39
- #20Best all-round cities for AI careers in the West Coast44 / 100 · of 39
- #21Cities with the most jobs that need no experience in the West Coast0.8% · of 66
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among engineers, all other is little observed so far. Measured exposure for engineers, all other: 7% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Why RoboForce
RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are seeking a Robotics Software Engineer to build the software that powers robot behavior in the real world. In this role, you will develop, integrate, and improve production-grade robotics capabilities across autonomy, systems, and developer infrastructure. You will work closely with cross-functional teams to turn promising prototypes into reliable software that runs on deployed robots operating in complex outdoor environments.
This is a hands-on engineering role for someone who enjoys writing production code, debugging challenging real-world problems, and seeing their work directly improve robot performance in the field.
Responsibilities
Robotics Software Development : Design, implement, and maintain production software for real-world robotic systems using C++ and Python, with a focus on performance, reliability, and maintainability.
System Integration : Integrate and refine robotics capabilities across perception, planning, controls, teleoperation, and platform software to ensure robust behavior on physical robots.
Robustness & Reliability Engineering : Improve software quality through testing, validation, fault handling, performance tuning, and edge-case analysis to make systems dependable in unstructured outdoor environments.
Debugging & Root Cause Analysis : Investigate complex failures across software, sensors, networking, timing, and hardware interfaces, and drive issues to resolution through disciplined technical analysis.
Tooling & Infrastructure : Build internal tools, scripts, and workflows that improve developer velocity, testing efficiency, observability, and release quality across the robotics software stack.
On-Robot Validation : Work directly with hardware to validate new features, evaluate system behavior, and iterate quickly between development and real-world testing.
Requirements
Education: B.S. or M.S. in Robotics, Computer Science, Electrical Engineering, or equivalent practical experience.
Experience: 2+ years of professional experience in robotics, autonomous vehicles, drones, or complex embedded systems, with a demonstrated track record of deploying physical hardware products into the field.
Programming Proficiency: Strong command of both C++ and Python, with the ability to read, debug, and write production-level C++ for core robot systems, alongside robust Python tooling.
Robotics Software Fundamentals : Experience working with one or more core robotics domains such as perception, motion planning, controls, localization, state estimation, system integration, or robot behavior.
Linux Systems Expertise : Strong comfort working in Linux development environments, including command-line tools, debugging workflows, scripting, and system-level troubleshooting.
Debugging Mindset : Proven ability to diagnose and resolve problems that span software, hardware, sensors, and distributed system interactions.
Collaboration : Requires 5 days/week in-office collaboration with the team.
Bonus Qualifications
Outdoor Robotics Experience : Background in autonomous driving, drones, mobile robotics, or other systems deployed in outdoor or unstructured environments.
Infrastructure Familiarity : Experience with Docker, Kubernetes, CI/CD systems, or software release workflows for robotics platforms.
Developer Tooling : Experience building tools for testing, simulation, telemetry, debugging, or log analysis.
Visualization & Diagnostics : Experience with robotics visualization and diagnostics tools such as Foxglove, Grafana, RViz, or custom internal interfaces.
Production Deployment Experience : Experience taking robotics software from prototype to production and supporting reliability at fleet scale.
Benefits
Competitive stock options/equity programs.
Health, dental, and vision insurance, 401(k) plan.
Visa sponsorship and green card support for qualified candidates.
Lunches and dinners, a fully stocked kitchen, and regular team-building events.
Compensation: Salary $165,000–$235,000 USD + Bonus + Equity
The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases.