Embedded Systems Engineer (Robotics Hardware)

Location: Irvine, California, United States; on-site

Salary: $120,000–$200,000 per year

Company

hirify.global develops risk-aware, field-ready embodied AI systems and autonomous robotics platforms for real-world deployments.

What you will do

• Architect, configure, evaluate, and validate ARM/x86 embedded compute platforms and single-board computers for robotic applications.
• Set up and customize Linux environments including Ubuntu, Yocto, and JetPack, along with ROS middleware and I/O interfaces.
• Integrate compute systems with LiDAR, cameras, TOF, IMUs, GPS, and other robotic sensors and peripherals.
• Develop firmware, device drivers, ROS nodes, data acquisition pipelines, configuration files, launch scripts, and firmware update workflows.
• Perform system-level testing including thermal profiling, latency measurement, power analysis, and compute performance monitoring.
• Support production, vendor procurement, incoming-unit QA, payload scaling, and root-cause analysis for boot, connectivity, and throughput issues.

Requirements

• B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field.
• Experience with embedded platforms such as Jetson, Raspberry Pi, x86 NUCs, or custom SBCs.
• Proficiency with Linux system configuration, scripting, and headless deployment tools.
• Strong firmware development skills for microcontrollers in bare-metal and RTOS environments.
• Proficiency in C++ and Python, with experience using USB, Ethernet, I²C, SPI, CAN, GMSL, or similar interfaces.
• Familiarity with ROS, device drivers, TF, data streaming, hardware/software debugging, and diagnosis across compute, thermal, timing, and I/O layers.

Nice to have

• Experience scaling systems from prototype to large-scale production.
• Experience developing robotics systems for harsh field environments or real-world deployment.
• Experience with autonomous vehicles, drones, ruggedized robots, or other deployed robotic systems.
• Fluency across software, electrical, and mechanical systems, plus knowledge of robotics autonomy stacks.

Culture & Benefits

• Work directly with real robots, sensors, and hardware in field deployments.
• Collaborate across AI, software, robotics engineering, product, field deployment, and technical communication.
• Contribute to a small, fast-moving hardware team building operational systems and procedures from the ground up.
• Focus on system reliability, scalability, explainability, safety, and dependable autonomy outside the lab.
• Inclusive workplace with employment decisions based on merit, qualifications, and performance.