Staff Systems Validation Engineer

Agility Robotics Agility Robotics · Robotics · Fremont, CA · Hardware

Agility Robotics is seeking a Staff Systems Validation Engineer to design and execute system-level verification and validation for their humanoid robot platform. This role involves developing and running test plans, troubleshooting, and reporting on robot performance in real-world customer environments. The engineer will work with cross-functional teams to ensure the robot meets all requirements for product acceptance, utilizing simulation environments and AI-assisted analysis for large datasets. Experience with safety-critical systems and robotics fundamentals is required.

What you'd actually do

  1. Develop and execute system-level V&V test plans for fully integrated humanoid robots, working with Systems Engineering to translate requirements into testable validation criteria with clear pass/fail metrics and traceability
  2. Design and execute end-to-end system validation tests across the fully integrated robot including full-body manipulation and locomotion, human-robot interaction, safety systems, environmental and operational scenarios.
  3. Extend validation coverage through simulation environments including regression testing at scale, rare failure modes, edge cases, and sim-to-real fidelity validation.
  4. Apply AI-assisted analysis techniques and modern data tooling to process large validation datasets, identify failure patterns and behavioral anomalies, and continuously sharpen test strategy based on empirical signal from the field and lab
  5. Support functional safety verification and validation activities ensuring compliance with ISO standards, including safety-critical function testing, fault injection, and Safety Integrity Level (SIL) or Performance Level (PL) verification

Skills

Required

  • Python
  • robotics
  • system-level verification and validation
  • complex electromechanical systems
  • robot simulation environments
  • safety-critical system validation
  • functional safety standards
  • kinematics
  • dynamics
  • control systems
  • sensing
  • actuation
  • test automation
  • test infrastructure
  • troubleshooting

Nice to have

  • BS or MS in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related field
  • NVIDIA Isaac Sim
  • MuJoCo
  • Gazebo
  • Webots
  • functional safety certification processes
  • mentoring junior engineers

What the JD emphasized

  • 10+ years of system-level verification and validation experience in robotics, autonomous systems, automotive, aerospace, or similar complex electromechanical systems
  • Hands-on experience using robot simulation environments to develop and execute test cases, generate synthetic test scenarios, and support regression testing at scale.
  • Familiarity with safety-critical system validation and functional safety standards such as ISO 13849, IEC 61508, or ISO 26262
  • Experience validating machine learning-based software components or models

Other signals

  • AI-assisted analysis techniques
  • validating machine learning-based software components or models