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Senior/Staff Systems Engineer - Pose Verification and Validation

Vollzeit Hybride Arbeit

Veröffentlichungsdatum: 31.08.2026

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.

Responsibilities

Develop, coordinate, and execute verification and validation test plans for Pose monitors using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments; Analyze and triage pipeline results that contribute to key launch-blocking metrics for software and system releases; Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks; Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone; Develop metrics and performance benchmarks for V&V campaigns, driving continuous improvement of test coverage and efficiency; Contribute to the development of risk analysis models to quantify behavioral risk when testing gaps exist

Requirements

MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, Aerospace, or Systems Engineering; 5+ years of hands-on systems integration and validation experience (simulation testing, SIL/HIL testing, structured testing, and end-to-end product validation) with a focus on delivering complex systems to production; Proficiency in Python for data analysis, test scripting, and automation; Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails; Strong systems-level thinking and the ability to understand and navigate complex technical systems; Basic proficiency with probability and statistics; Ability to grapple with ambiguity and collaborate with cross-functional teams

Nice to have

Experience with autonomous vehicles, robotics, or other safety-critical systems; Experience with simulation environments and hardware-in-the-loop (HIL) testing for pose estimation or perception systems; Experience with fault protection system design and validation; Familiarity with industry safety standards such as ISO 26262, ISO 21448 (SOTIF), ARP 4754, or ARP 4761; Experience with Linux systems and containerized testing environments; Proficiency with SQL for test data analysis
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