Robot System QA

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Robot System QA Mountain View, Mountain View,, California, United States 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,

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