Robotics Software Engineer
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Before you apply
Salary$165k – $235k
LocationMilpitas, CA, Milpitas, CA
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentRobotics Software
EquityIncluded
Company size51–200 people
PostedSep 24, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
2+ years of professional experience in robotics, autonomous vehicles, drones, or complex embedded systems
Strong command of both C++ and Python
Experience working with one or more core robotics domains such as perception, motion planning, controls, localization, state estimation, system integration, or robot behavior
Strong comfort working in Linux development environments
Proven ability to diagnose and resolve problems that span software, hardware, sensors, and distributed system interactions
B.S. or M.S. in Robotics, Computer Science, Electrical Engineering, or equivalent practical experience
Background in autonomous driving, drones, mobile robotics, or other systems deployed in outdoor or unstructured environments
Experience with Docker, Kubernetes, CI/CD systems, or software release workflows for robotics platforms
Experience building tools for testing, simulation, telemetry, debugging, or log analysis
Experience with robotics visualization and diagnostics tools such as Foxglove, Grafana, RViz, or custom internal interfaces
Experience taking robotics software from prototype to production and supporting reliability at fleet scale
Requires 5 days/week in-office collaboration with the team
Skills
C++
Python
Docker
Kubernetes
Foxglove
Grafana
RViz
Benefits
Stock options
Health insurance
Dental insurance
Vision insurance
401(k)
Visa sponsorship
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.
About the role
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
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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.
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System Integration: Integrate and refine robotics capabilities across perception, planning, controls, teleoperation, and platform software to ensure robust behavior on physical robots.
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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.
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Debugging & Root Cause Analysis: Investigate complex failures across software, sensors, networking, timing, and hardware interfaces, and drive issues to resolution through disciplined technical analysis.
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Tooling & Infrastructure: Build internal tools, scripts, and workflows that improve developer velocity, testing efficiency, observability, and release quality across the robotics software stack.
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On-Robot Validation: Work directly with hardware to validate new features, evaluate system behavior, and iterate quickly between development and real-world testing.
Requirements
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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.
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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.
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Debugging Mindset: Proven ability to diagnose and resolve problems that span software, hardware, sensors, and distributed system interactions.
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Collaboration: Requires 5 days/week in-office collaboration with the team.
Bonus Qualifications
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Outdoor Robotics Experience: Background in autonomous driving, drones, mobile robotics, or other systems deployed in outdoor or unstructured environments.
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Infrastructure Familiarity: Experience with Docker, Kubernetes, CI/CD systems, or software release workflows for robotics platforms.
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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
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Competitive stock options/equity programs.
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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
Legal
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.