Dyna Robotics
QA Lead, Robotics
Redwood City, CA. Posted 7 months ago
The role
You will build and lead the QA function across the full stack from cloud inference servers to Linux-based IoT devices. You will hire and mentor a QA team, define testing standards, and perform hands-on validation of physical hardware and software.
What you will do
- Hire, develop, and retain a QA team
- Own the QA strategy and roadmap
- Build and maintain scalable automated test frameworks
- Own and automate release checklists
- Run A/B testing for robotic tasks
- Design and execute evaluation pipelines for AI model and full-system performance
- Track system health using tools like Datadog and Grafana
- Validate real-robot behavior including mechanical repeatability and sensor calibration drift
- Troubleshoot integration issues across firmware, drivers, and application software
- Establish and maintain standard operating procedures
Required qualifications
- Bachelor's or Master's in Computer Science, Robotics, or a related field
- 7+ years in QA, SRE, or Robotics Engineering
- Hands-on experience testing real hardware systems
- 2+ years in a team lead or management role
- Proficiency in Python
- Strong Linux administration skills
- Experience with IoT/edge device deployments
- Deep experience in developing and managing automated testing frameworks
- Familiarity with modern AI/ML testing, model evaluation, and regression benchmarking techniques
- Familiarity with simulation (Gazebo, MuJoCo) and CI/CD tools (Docker, Kubernetes)
- Track record of adopting AI/LLM tools to accelerate QA workflows
- Hands-on experience with physical robot testing, hardware bring-up, or manufacturing QA
Nice to have
- Experience with computer vision metrics (image quality, depth validation, camera calibration)
- Experience with ML model evaluation, defining performance metrics for AI systems, or building automated regression pipelines for ML models
- Previous experience in a fast-paced startup environment
About the company
Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model. The team comes from Google DeepMind, Meta, and Cruise.