Robotics Autonomy Engineer - Perception (Robotics)

Location: Fully onsite at the Irvine, CA office, United States

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

Company

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

What you will do

• Design, implement, maintain, and improve perception systems for autonomous robots in unstructured and off-road environments.
• Develop localization, mapping, SLAM, state estimation, and multi-sensor fusion capabilities.
• Integrate LiDAR, cameras, RADAR, inertial sensors, and new sensing modalities across robotic platforms.
• Deploy perception algorithms on physical robots and debug issues during on-robot testing and field operations.
• Develop performance metrics, tests, regression monitoring, and tools to improve system robustness and scalability.
• Collaborate with autonomy, controls, platform, research, and operations teams to deliver production-ready systems and support customer demonstrations.

Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field; or an MS with 2+ years of industry or applied research 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, beyond simulation.
• Proficiency in C++, Python, and ROS/ROS2-based systems.
• Ability to work close to hardware, including sensor-data debugging, calibration, and troubleshooting real-world failures.
• Ability to work fully onsite from the Irvine, CA 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, and perception benchmarking.
• Experience aligning perception stacks across multiple platforms or product lines.
• Leadership in research, field operations, or mentoring junior engineers and researchers.
• Knowledge of Docker, Kubernetes, and modern DevOps practices.

Culture & Benefits

• In-person collaboration in a close-knit, interdisciplinary robotics team.
• Flexible working hours within the fully onsite work model.
• Full benefits, equity, and generous time off.
• Work focused on deploying explainable and safe robotic autonomy in previously unknown environments.