Robotics Autonomy Engineer, Systems (Robotics)

Location: Fully onsite at the Irvine, California office; the posting also lists Peoria, Illinois.

Salary: $100,000–$200,000 per year, plus benefits and equity.

Company

hirify.global develops risk-aware, reliable AI systems and foundational models for robots operating in complex, unstructured real-world environments.

What you will do

• Design, implement, maintain, and improve perception systems for autonomous robots in off-road and field environments.
• Develop localization, mapping, SLAM, state estimation, and sensor-fusion capabilities using LiDAR, cameras, RADAR, and inertial sensors.
• Integrate new sensing modalities and sensor configurations across simulation and physical robotic platforms.
• Deploy perception algorithms on real robots, debug field issues, and validate performance through testing and operations.
• Collaborate with autonomy, controls, platform, research, and operations teams to deliver production-ready systems.
• Develop metrics, tools, tests, and regression checks to improve robustness, maintainability, and scalability across robots and missions.

Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field; or an MS with 2+ years of relevant experience; or a BS with 4+ years of relevant experience.
• Strong experience with robot perception, localization, mapping, SLAM, state estimation, and sensor fusion for real-world robotic systems.
• Hands-on experience developing and deploying perception software in field robotics environments, not only in simulation.
• Proficiency in C++, Python, and ROS/ROS2-based systems.
• Experience working close to hardware, including sensor debugging, calibration, and diagnosing real-world failures.
• Ability to work fully onsite from the Irvine, California office.

Nice to have

• Experience with thermal, LWIR, or multispectral sensing and custom sensor-rig integration and calibration.
• Experience with CI/CD, performance regression testing, benchmarking, and aligning perception stacks across platforms.
• Leadership in research, field operations, or mentoring junior engineers and researchers.
• Knowledge of Docker, Kubernetes, and modern DevOps practices.

Culture & Benefits

• Fully onsite collaboration with flexible working hours.
• Work on field-deployed robotic systems for unstructured and previously unknown environments.
• Full benefits, equity, and generous time off.
• Inclusive workplace focused on creativity, resilience, interdisciplinary collaboration, and technical ownership.