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# Robot System QA

- **Company:** Rhoda ai
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, C++ (Programming Language), Cloud Computing, Communications Protocols, Continuous Integration, Software Debugging, Distributed Systems, EtherCAT, Failure Mode Effects Analysis, Hardware-In-The-Loop Simulation, Python (Programming Language), Machine Learning, Modbus, Networking Basics, Regression Testing, Reliability Engineering, Prometheus, System Testing, Grafana, Safety Critical Systems, Grpc, Data Pipelines
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bde47cb1fe775413

## About the Role

Do you have experience in System troubleshooting?, * 4+ years of experience in systems QA, reliability engineering, or a closely related field

 * Strong systems thinking - ability to reason about reliability and failure modes across complex, multi-component systems
 * Experience defining and tracking reliability KPIs, SLOs, and deployment readiness criteria for production systems
 * Hands-on experience designing and executing benchmarking, stress testing, and failure mode analysis programs
 * Strong debugging and root-cause analysis skills across software, hardware, and system boundaries
 * Proficiency in Python and/or C++ for test automation and tooling
 * Experience with CI/CD systems and automated test infrastructure
 * Effective communication skills - able to synthesize system health signal and communicate release readiness clearly across engineering and leadership

Nice to Have (But Not Required)

 * Experience with hardware-in-the-loop testing or validation of physical systems
 * Familiarity with robotics software stacks, perception systems, or control systems
 * Background in reliability engineering, FMEA, or safety-critical systems validation
 * Experience with observability and monitoring infrastructure (e.g., Prometheus, Grafana, or similar)
 * Knowledge of industrial communication protocols (EtherCAT, Modbus, gRPC) and networking fundamentals
 * Familiarity with cloud infrastructure and distributed systems reliability

## Description

* 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
 * 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, and infrastructure boundaries - and drive corrective actions and regression tests to prevent recurrence
 * Collaborate closely with robotics, infrastructure, and ML teams to embed quality and testability into system design from the ground up
 * Build observability and reporting infrastructure that gives the team continuous, clear signal on system health and release readiness


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