Dyna Robotics
QA Lead, Robotics
Redwood City, CA · Senior
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About the role
- Real-world robotics cannot be fully validated in simulation; physical hardware behavior and real-environment variability require hands-on QA judgment.
- You will hire and mentor a QA team, define testing standards, and stay hands-on with critical validation - balancing automation with the physical testing our domain demands.
Responsibilities
- People Management: Hire, develop, and retain a QA team.
- Drive recruiting and foster a culture of intellectual honesty and psychological safety.
- Release Validation & Benchmarking: Own and automate release checklists (inference server, station-side deployment). Run A/B testing for robotic tasks to measure success rates and latency. Manual validation where automation is not yet feasible.
- AI Model Evaluation & Regression Testing: Design and execute evaluation pipelines that validate AI model and full-system performance across model, software, and hardware updates.
- Define and track key metrics (task success rate, cycle time, generalization across environments), build automated regression benchmarks, and gate releases on evaluation results to prevent regressions from reaching production.
- Physical Hardware QA & Integration: Validate real-robot behavior that simulation cannot cover - mechanical repeatability, sensor calibration drift, and edge cases on physical hardware.
- Process & Documentation: Establish and maintain standard operating procedures (SOPs) for hardware and software validation
- drive continuous process improvement.
- Process & Documentation: Establish and maintain standard operating procedures (SOPs) for hardware and software validation; drive continuous process improvement.
Requirements
- Technical Skills: Proficiency in Python.
- Hardware QA: Hands-on experience with physical robot testing, hardware bring-up, or manufacturing QA - understanding failure modes that only appear on real hardware.
- Experience with ML model evaluation, defining performance metrics for AI systems, or building automated regression pipelines for ML models.
Skills
- Strong Linux administration skills and experience with IoT/edge device deployments.
- Track record of adopting AI/LLM tools to accelerate QA workflows (test generation, bug triage, automation scaffolding).
- Must actively seek out and integrate new AI tools.
- Experience with computer vision metrics (image quality, depth validation, camera calibration).
- Previous experience in a fast-paced startup environment.
- Proficiency in Python.
- Systems: Strong Linux administration skills and experience with IoT/edge device deployments.
Benefits
- Align priorities with company vision, translate quality risks into business impact, and drive alignment across robotics, ML, and infrastructure teams.
- Partner with developers to continuously expand CI coverage and
- System Monitoring & Alerting: Use tools like Datadog and Grafana to track system health, identify performance regressions, and maintain observability across production environments.
- Education: Bachelor's or Master's in Computer Science, Robotics, or a related field.
Company info
- Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance.
- Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world.
- Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
- At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit.
Equal opportunity
- We are an equal opportunity employer committed to technical rigor and mutual respect.
This listing is sourced directly from Dyna Robotics's careers page and normalized into a canonical job model.