Posted in

Lead Engineer – Systems Verification & Validation – Autonomy

Lead Engineer – Systems Verification & Validation – Autonomy

CompanyServe Robotics
LocationSan Carlos, CA, USA
Salary$180000 – $220000
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelSenior, Expert or higher

Requirements

  • B.S. in Mechanical, Electrical, Software or equivalent engineering field
  • 8+ years of experience in the design and test of complex electromechanical and/or robotic systems
  • Experience with systems engineering fundamentals, particularly verification & validation methods
  • Experience with test scripting and data analysis languages (e.g. Python and SQL)
  • Experience in data analysis of test results including probability and statistical analysis techniques
  • Hands-on approach to the test and debugging of electromechanical systems
  • Fundamental knowledge of mechanical, electrical, and software engineering
  • Excellent written and verbal communication skills for audiences ranging from technicians to senior executives

Responsibilities

  • Lead interdisciplinary teams to define verification & validation plans that ensure all requirements are satisfied and the delivery of a safe and responsible autonomous product
  • Work cross-functionally to develop novel strategies and methods to verify and validate both the hardware and software of an autonomous sidewalk delivery robot, drawing on analysis, simulation, HIL testing, and vehicle testing
  • Execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams, such as hardware, firmware, and autonomy
  • Maintain traceability between requirements, test cases, and results
  • Work cross-functionally to develop detailed simulations and structured test plans and procedures
  • Troubleshoot and debug issues in the field, and trace failures to correct subsystems
  • Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline analysis and reporting

Preferred Qualifications

  • M.S., or Ph.D in Mechanical, Electrical, Software or equivalent engineering field
  • Experience in one or more of the following industries: automotive, medical, aerospace, robotics
  • Experience in autonomous systems and/or mobile robotics
  • Experience working in Unix/Linux environments