Robotics Test Engineer

Location: Mountain View, United States

Company

hirify.global develops generalist intelligent robots across the full robotics stack, including hardware, robot systems, infrastructure, foundation world models, and manufacturing.

What you will do

• Develop and maintain automated test frameworks for hardware, firmware, and software systems.
• Build scalable hardware-in-the-loop and system-level validation environments that reflect real-world operating conditions.
• Identify, reproduce, and help resolve complex failures across hardware, firmware, software, and robotics subsystems.
• Maintain traceability between product requirements, test execution, and validation results.
• Generate performance, reliability, and characterization data to support engineering decisions and product readiness.

Requirements

• 3+ years of experience in test engineering, robotics, mechanical engineering, electrical engineering, or a related discipline.
• Programming proficiency in Python, C++, or both.
• Experience with embedded systems, microcontrollers, and communication protocols such as CAN, SPI, I2C, or UART.
• Hands-on experience with oscilloscopes, logic analyzers, multimeters, and power supplies.
• Experience using Git in collaborative engineering environments.
• Strong systems thinking, debugging, root-cause analysis, and technical communication skills.

Nice to have

• Experience developing automated test frameworks and validation infrastructure.
• Experience with Linux-based development environments and real-time operating systems.
• Familiarity with hardware-in-the-loop testing, robotic systems validation, or electromechanical product testing.
• Experience designing test fixtures with CAD tools.

Culture & Benefits

• Test infrastructure directly influences what products are ready to ship.
• Work across hardware, firmware, and software on a single robotics platform.
• High ownership in a small team, with the opportunity to shape validation methodology.
• Work on generalist robotics intended to operate in complex real-world environments.