Robotics Test Engineer

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

We're looking for a Robotics Test Engineer to build the systems that validate the robot. You'll develop the infrastructure, automation, and processes that ensure the robot performs reliably across a wide range of operating conditions - working at the intersection of hardware, firmware, and software to create test systems that uncover issues early, provide actionable data, and accelerate development across the robotics stack.

What You'll Do

• Develop and maintain automated test frameworks that improve validation coverage and reduce manual testing effort across hardware, firmware, and software systems

• Build scalable hardware-in-the-loop and system-level validation environments that accurately represent real-world operating conditions

• Identify, reproduce, and help resolve complex multidisciplinary failures before they impact product milestones or deployments

• Maintain traceability between product requirements, test execution, and validation results across development programs

• Generate high-quality performance, reliability, and characterization data that informs engineering decisions and product readiness

What We're Looking For

• 3+ years of experience in test engineering, robotics, mechanical engineering, electrical engineering, or a related engineering discipline

• Programming proficiency in Python, C++, or both

• Experience working with embedded systems, microcontrollers, and communication protocols such as CAN, SPI, I2C, or UART

• Hands-on experience using laboratory equipment including oscilloscopes, logic analyzers, multimeters, and power supplies

• Experience using version control systems such as Git in collaborative engineering environments

• Strong systems-thinking mindset with the ability to understand interactions across hardware, firmware, software, and robotics subsystems

• Excellent debugging and root-cause analysis skills grounded in data and experimentation

• Strong communication skills with the ability to clearly present technical findings to both technical and non-technical stakeholders