5 часов назад
Lead QA Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead QA Engineer (Robotics): Building and leading the QA function for general-purpose robots with an accent on physical hardware validation and automated testing frameworks. Focus on scaling CI/CD, integrating AI-driven testing tools, and ensuring system reliability across cloud, edge, and physical robot platforms.
Company
builds general-purpose robots powered by a proprietary embodied AI foundation model, with technology already deployed across multiple industries.
What you will do
- Hire, mentor, and lead a growing QA team while fostering a culture of psychological safety.
- Define and execute the overall QA strategy, aligning quality risks with business impact across robotics, ML, and infrastructure teams.
- Build and maintain scalable automated test frameworks for robot software, cloud inference, and edge devices.
- Own release validation, including automated checklists and benchmarking for AI model performance.
- Conduct hands-on physical hardware testing to validate mechanical repeatability, sensor calibration, and real-world edge cases.
- Implement system monitoring and observability using tools like Datadog and Grafana.
Requirements
- Location: Must be based in Redwood City, CA (On-site role).
- 7+ years of experience in QA, SRE, or Robotics Engineering with hands-on hardware testing.
- 2+ years of experience in a team lead or management role.
- Strong proficiency in Python and Linux administration.
- Deep experience with automated testing frameworks, CI/CD tools (Docker, Kubernetes), and AI/ML model evaluation.
- Track record of adopting AI/LLM tools to accelerate QA workflows.
Nice to have
- Experience with computer vision metrics and camera calibration.
- Background in defining performance metrics for AI systems.
- Previous experience in a fast-paced startup environment.
Culture & Benefits
- Work at the intersection of embodied AI and physical robotics.
- Collaborate with a team of experts from industry-leading organizations like Google DeepMind, Meta, and Cruise.
- Opportunity to build a QA function from the ground up in a high-growth startup environment.
- Commitment to technical rigor, intellectual honesty, and mutual respect.
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