Robotics Systems Engineer (AI)

Location: San Mateo, CA, United States

Base salary: $175,000–$275,000 USD per year

Company

hirify.global is building general-purpose robotic intelligence that adapts to unseen scenarios through data-driven machine learning for widespread robot deployment.

What you will do

• Own system-level architecture, specifications, interfaces, power budgets, and sensor suites for quadruped, humanoid, and custom mobility platforms.
• Bring up sensors, compute payloads, actuation systems, and custom power-distribution architectures on third-party and in-house robotic hardware.
• Build hardware qualification pipelines, end-of-line functional tests, and diagnostic frameworks before field deployment.
• Perform FMEA and rapid root-cause investigations for hardware failures during field operation and policy stress testing.
• Partner with ML research, mechanical design, and manufacturing teams to translate software goals into hardware requirements and physical test fixtures.
• Standardize sensor synchronization, communication topologies, and cabling architectures for high-impact industrial operations.

Requirements

• 5+ years of experience in systems engineering, mechatronics, or robotics hardware development.
• Strong fluency in mechanical assemblies, custom wire harnesses, power electronics, and sensor integration, including LiDAR, depth cameras, IMUs, encoders, load cells, and force/torque sensors.
• Experience with embedded communication protocols including CAN, EtherCAT, SPI, UART, and GMSL.
• Proficiency with Linux-based robotics tools, ROS/ROS2, system telemetry, multimeters, oscilloscopes, logic analyzers, and test scripting in Python/C++.
• Experience taking complex electromechanical or robotic products from zero-to-one prototyping through verification and high-reliability field deployment.
• Experience deploying ML policies or AI-driven control loops directly onto physical hardware.
• Hands-on experience with industrial functional safety standards ISO 13849 and IEC 61508 or EMI/EMC compliance for mobility platforms.
• Background with high-performance BLDC actuators, cycloidal or harmonic-drive gearboxes, and high-density battery-management systems.
• Ability to work effectively in a fast-paced startup environment with ambiguous requirements and tight iteration loops.

Culture & Benefits

• Work on general-purpose robotic intelligence and robotic platforms intended for broad deployment.
• Collaborate across ML research, mechanical design, manufacturing, and engineering disciplines.
• Operate in a startup environment with rapid iteration and ambiguous requirements.