Software QA Engineer

About the Role

Rhoda AI builds general-purpose robots end to end: the AI models, the robot software, and the hardware. As a Software QA Engineer, you decide whether our software is ready to be used by our clients. You will work closely with our programs, including how they ship robot software, cloud services, or AI models, and ensure that all program requirements are verifiable. You will create test plans, test cases, acceptance criteria, test execution, and report all the way back to requirements to ensure a fully verified product

What You'll Do

• Own the test plan for our program's software: what to test, how, and what "ready to ship" means.
• Run release qualification and give the sign-off that a software release can go to production.
• Test new features and regressions in the environments the software runs in (robots, simulation, cloud, or model serving), including exploratory testing.
• Find, reproduce, and isolate software defects, and drive their root cause to a fix with the owning team.
• Write the automated tests for your program's software on the frameworks Engineering Productivity builds, and keep them meaningful as the product changes.
• Build the test tools you need: scripts to drive the system under test, collect and analyze logs, and report results.
• Track quality for your program: escaped defects, regression trends, and release readiness.

What We're Looking for

• 3+ years of industry experience in software QA or test engineering on complex products: cloud services, AI or ML systems, robotics, automotive, medical devices, or similar.
• Experience owning test plans and release sign-off, including both writing and executing test cases.
• Solid debugging: you can read logs, use Linux and the command line, and narrow a failure down to code, configuration, data, or hardware.
• Strong programming skills in Python; C++. You write test code and tools to the same review standard as product code.
• Clear written communication: bug reports and release reports, and root cause analysis.

Strong plus

• Experience testing robotics software, AI or ML systems, or autonomy and perception systems.
• Experience with Hardware-in-the-loop (HIL) or simulation-based testing, as well as testing non-deterministic systems
• Experience in a regulated environment (medical, automotive, aerospace) with requirements traceability.

Levels

• Mid (3-5 years): owns the test plan and release sign-off for a program or a feature area.
• Senior (5+ years): owns quality for a whole program, defines its test strategy, and mentors other QA engineers.