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Verification & Validation System Engineer, Assisted Autonomy

External
kodiak logoKodiak · Mountain View, CA
Full-timeOn-site2mo ago
PythonRoboticsSAFe
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Requirements

  • Must be a US person as defined as permanent resident or US citizen
  • A Bachelor's or Master's degree in Robotics, MechE/EE, System Engineering, Computer Science or a related STEM field.
  • Strong experience in verification and validation, systems integration, and/or autonomy testing for complex systems, preferably for autonomous vehicles.
  • Willingness and ability to travel to test/customer sites up to ~25% of the time, depending on needs for key milestones and sprints.
  • Strong organizational and communication skills, with the ability to work cross functionally, prioritize multiple projects, and deliver results in a fast paced development environment.
  • Strong hands-on testing experience at a test facility or in unstructured environments.
  • Bonus Points:
  • Proficiency in Python or C++.
  • Experience developing, implementing, and/or training human-in-the-loop remote assistance tools for autonomous vehicles
  • Experience with requirements and test management tools such as JAMA or similar.
  • Experienced in the Systems Engineering V-Model and its application to V&V workflows.
  • Knowledge of safety critical development standards (e.g. ISO 26262) and familiarity with SOTIF and UL4600.

Benefits

Competitive compensation package including equity and annual bonusesExcellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness InsuranceFlexible PTO, 10 paid holidays, and generous parental leave policiesOur office is centrally located in Mountain View, CAOffice perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV chargingLong Term Disability, Short Term Disability, Life InsuranceWellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)Fidelity 401(k)Commuter, FSA, Dependent Care FSA, HSAVarious incentive programs (referral bonuses, patent bonuses, etc.)The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual stHealth insuranceDental insuranceVision insurance401(k)Paid time offRemote work optionsFlexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are recruiting for a Verification and Validation Systems Engineer who will support the system requirements, implementation, and testing of Kodiak's assisted autonomy system to ensure the product requirements are met and the autonomous vehicle operates safely. In this role, you will: Define and implement verification and validation methods across multiple test environments, including remote operation centers, hardware-in-the-loop (HIL) labs, and on-road vehicle testing for remote operations. Develop and maintain test plans and procedures to evaluate system performance and safety for core remote assistance features as needed for hardware releases, software releases and/or key milestones. Collaborate with cross-functional teams to scope, train, and implement new operational functions aligned with remote feature requirements. Analyze remote assistance features, test evidence, and/or evaluate risk exposures to improve safety case arguments. Expand the remote assistance test suite to address edge cases, a wide range of operational conditions, and existing coverage gaps. Collaborate with remote operators and trainers to align on desired operational use cases, training points, and safety goals when new features are implemented. Analyze test results to identify unexpected behaviors, regressions, and/or failures while also performing root cause triage to isolate system issues and drive resolution. Build tools to automate test execution, data extraction, and results reporting, with a focus on repeatability and efficiency. Support hardware and software releases through V&V test campaigns and release packages with an emphasis on tracking results, evidence reporting, and task completion. Develop and assess safety critical features for unmanned autonomous vehicles Define and enforce safety critical operational procedures for unmanned autonomous vehicles Support commercial, industrial, and/or defense related projects to ensure safe autonomous operations using various platforms in different operational design domains.

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