At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Lead Systems Verification & Validation Enginee r, you are responsible for demonstrating and ensuring that our robot is safe, robust, performant, and satisfies market/customer needs. You will own the verification & validation of requirements for an autonomous last-mile delivery robot, both building out the high-level test plans all the way to defining the individual test cases and how they’re executed. You will work across many teams and disciplines to help define and orchestrate the test and evaluation of a complex system by breaking high-level product goals and system requirements down into actionable strategies and methods for evaluation.
Responsibilities
Lead interdisciplinary teams to define verification & validation plans that ensure all autonomy requirements are satisfied and the delivery of a safe and responsible autonomous robot
Work cross-functionally to develop novel strategies and methods to verify and validate the autonomy features of an autonomous sidewalk delivery robot, drawing on analysis, simulation, HIL testing, and vehicle testing
Work cross-functionally to develop detailed simulations and structured test plans and procedures
Execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams, such as hardware, firmware, and autonomy
Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline analysis and reporting
Troubleshoot and debug issues in the field pertaining to autonomous behavior, and trace failures to correct subsystems or AV SW stack
Maintain traceability between requirements, test cases, and results
Support autonomous vehicle requirements generation such that they are implementable and verifiable.
Qualifications
B.S. in Mechanical, Electrical, Software or equivalent engineering field
8+ years of experience in systems integration and testing of complex electromechanical and/or autonomous robotic systems.
Experience with autonomous/non-autonomous robots verification and validation testing - system level, closed course testing, HIL, Simulation
Experience with test scripting and data analysis languages (e.g. Python and SQL)
Experience testing ROS or other DDS based robotic systems
Highly Preferred architecture/system level understanding of autonomous vehicle software stack
Preferred experience with converting high level AV behaviors into testable requirements
Hands-on approach to the test and debugging of electromechanical systems
Excellent written and verbal communication skills for audiences ranging from technicians to senior executives
What makes you standout
M.S., or Ph.D in Mechanical, Electrical, Software or equivalent engineering field
Experience with systems engineering fundamentals, particularly verification & validation methods.
Proven track record of developing tools and metrics to build insights on feet performance to improve robotic behavior.
Experience in one or more of the following industries: autonomous vehicles, medical robotics, aerospace and automated systems
$170K – $230K • Offers Equity
The salary range listed in this posting is representative of the range of levels being considered for this position. Total compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
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