Robotics Software Engineer

• 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.

• 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., * 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.

• Competitive stock options/equity programs.
• Health, dental, and vision insurance, 401(k) plan.
• Visa sponsorship and support for qualified candidates.
• Lunches and dinners, a fully stocked kitchen, and regular team-building events.

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.