Embedded Systems Engineer, Humanoid Robotics

Location: Fully onsite at the Irvine, California office. The posting header also lists Boston, Massachusetts.

Salary: $135,000–$185,000 per year, plus benefits, equity, and generous time off.

Company

hirify.global develops risk-aware, reliable, field-ready AI and robotics systems for unstructured real-world environments.

What you will do

• Design embedded compute platforms using ARM, SoCs, and microcontrollers while balancing size, weight, and power constraints.
• Bring up and customize bare-metal and RTOS firmware, board support packages, bootloaders, and Linux kernel components.
• Develop and integrate drivers for cameras, LiDAR, IMUs, tactile sensors, motors, and joint actuators.
• Implement deterministic wired and wireless communication, timing, diagnostics, watchdogs, and health monitoring.
• Build sensor-to-actuator data pipelines and enable real-time edge inference for perception and manipulation models.
• Expose interfaces through ROS/ROS2 and DDS, generalize the platform across humanoid robots, and implement e-stop and safety monitoring.

Requirements

• B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field.
• At least 3 years of hands-on embedded systems experience; candidates from mid-level to senior and staff levels are considered.
• Proficiency in C++ and Python, with experience in firmware, RTOS, Linux kernel development, device drivers, and BSP bring-up.
• Experience with embedded sensors and actuators, including cameras, LiDAR, IMUs, tactile sensors, motors, and joint systems.
• Hands-on experience with Ethernet, CAN/CAN-FD, SPI, I2C, UART, USB, PCIe, wireless links, and timing protocols such as PTP.
• Familiarity with GPU, TPU, or NPU acceleration, CUDA or TensorRT, ROS/ROS2, DDS, and SWaP-constrained designs.

Nice to have

• Experience with humanoid or other legged robot platforms and manipulation or motor control.
• Linux kernel modules, PREEMPT_RT, kernel debugging, and deterministic low-jitter timing in production systems.
• Safety-critical robotics experience, including e-stop circuitry, safety monitoring, ISO 13849, or ISO 10218.
• Experience collaborating with ML or perception teams on model latency, memory, and throughput requirements.

Culture & Benefits

• Fully onsite, in-person collaboration with flexible working hours.
• Full benefits, equity, and generous time off.
• Work on robotics systems deployed in unstructured and previously unknown environments.
• Inclusive workplace focused on creativity, resilience, interdisciplinary collaboration, and merit-based evaluation.