Rhoda AI
Technology
RobotSystemQA
Neural analysis suggests this role is
optimal for Senior candidates.
“Robot System QA at Rhoda AI. Skills: System validation, Reliability testing, Benchmarking pipelines. Design validation frameworks. Execute validation frameworks”
What You'll Achieve.
Determine system readiness; Identify reliability risks; Prevent recurrence of failures
Industry & Context.
Debugging; Root-cause analysis
What They're Looking For.
Must Have
4+ years systems QA, Systems thinking, Experience defining KPIs, Hands-on benchmarking, Debugging skills, Proficiency in Python, Proficiency in C++, Effective communication skills
Nice to Have
Hardware-in-the-loop testing, Familiarity with robotics software, Familiarity with perception systems, Familiarity with control systems, Background in reliability engineering, FMEA experience, Safety-critical systems validation, Experience with observability infrastructure, Knowledge of industrial protocols, Knowledge of networking fundamentals, Familiarity with cloud infrastructure, Familiarity with distributed systems reliability, Experience with CI/CD systems, Experience with automated test infrastructure
What You'll Do.
Design validation frameworks
Execute validation frameworks
Design benchmarking pipelines
Maintain benchmarking pipelines
Design reliability testing programs
Define reliability KPIs
Track reliability KPIs
Define deployment readiness criteria
Design stress testing programs
Execute stress testing programs
Design fault injection programs
Execute fault injection programs
Investigate system failures
Root-cause system failures
Drive corrective actions
Drive regression tests
Embed quality into design
Embed testability into design
How You'll Work.
Team & Collaboration
Collaborate with system engineering; Collaborate with product team; Collaborate with robotics teams; Collaborate with infrastructure teams; Collaborate with ML teams
Communication Scope
Synthesize system health; Communicate release readiness
Full Job Description
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 $400M 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 Robot Systems QA Engineer to own the quality and reliability bar across our entire robotics platform — not just the robot itself, but the full system it operates within. You'll design and execute the validation frameworks, benchmarking pipelines, and reliability testing programs that determine whether our systems are truly ready for real-world deployment. What You'll Do - Design and own end-to-end system validation frameworks that span the full platform — robot hardware and software, cloud infrastructure, networking and communication systems, data pipelines, and operational tooling - Collaborate closely with system engineering and the product team to derive test cases and success criteria from high-level requirements - Define and track reliability KPIs and deployment readiness criteria across all system components — establishing clear, measurable thresholds that gate production releases - Build and maintain benchmarking pipelines that systematically evaluate system performance across key dimensions: uptime, latency, throughput, fault recovery, and end-to-end task success rates - Design and execute stress testing, failure mode analysis, and fault injection programs to identify reliability risks before they surface in deployment - Investigate and root-cause system-level failures — spanning software, hardware, networking,
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