Dyna Robotics

Dyna Robotics

QA Lead, Robotics

Redwood City, CA

Sponsorship not specifiedDetected 112 days ago
Full-Stack DevelopmentDockerKubernetesCI/CDLinuxGrafanaDatadogSite Reliability EngineeringMachine LearningComputer VisionLLMsA/B TestingRoboticsTest AutomationManual TestingResearchLeadershipProblem Solving

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

  • Bachelor's or Master's in Computer Science, Robotics, or a related field.
  • Strong Linux administration skills and experience with IoT/edge device deployments.
  • Hands-on experience with physical robot testing, hardware bring-up, or manufacturing QA - understanding failure modes that only appear on real hardware.
  • 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

  • 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.
  • Soft
  • Strong leadership and people management; effective communicator across technical and non-technical stakeholders.

Benefits

  • Align priorities with company vision, translate quality risks into business impact, and drive alignment across robotics, ML, and infrastructure teams.
  • Use tools like Datadog and Grafana to track system health, identify performance regressions, and maintain observability across production environments.
  • Partner with developers to continuously expand CI coverage and
  • Education: Bachelor's or Master's in Computer Science, Robotics, or a related field.

Company info

  • JOIN US TO SHAPE THE NEXT FRONTIER OF AI-DRIVEN ROBOTICS!
  • Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance.
  • Dyna's robots have been deployed at customers across multiple industries.
  • Its frontier model has the top generalization and performance in the industry.
  • Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma.
  • The company has raised over $140M, backed by top investors, including CRV and First Round.We're positioned to redefine the landscape of robotic automation.
  • 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.
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This listing is sourced directly from Dyna Robotics's careers page and normalized into a canonical job model.