Systems Engineer, Autonomy Verification and Validation

Zoox

Foster City (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Zoox is seeking a senior systems engineer to drive verification, validation, and test activities for its full-stack autonomous mobility platform. You will design and execute simulation and physical test plans, triage results, and collaborate with software, hardware, and safety teams to strengthen the safety case for robotaxi deployment.

You will evaluate sensors and hardware, refine testing methodologies, and communicate findings to stakeholders, enabling fail-operational design and safer

Qualifications

  • 5+ years of experience in systems engineering, verification, and validation or a related role.
  • Experience with development and testing of complex electro-mechanical systems.
  • Familiar with AB Dynamics test equipment and simulation environments.

Responsibilities

  • Develop, coordinate, and execute efficient simulation and structured test plans for autonomy systems with a focus on perception and sensor performance.
  • Analyze and triage pipeline results that contribute to key launch blocking metrics for software and system releases.
  • Evaluate and characterize the performance of new autonomy sensors and hardware as they are integrated into Zoox vehicles.
  • Collaborate with cross-functional teams to identify and mitigate risks.
  • Develop and refine test methodologies to ensure comprehensive coverage of the autonomy system’s operational design domain.
  • Communicate test results and analysis to stakeholders to support the safety case and fail-operational design for robotaxi.

Skills

Systems engineering
Verification and validation
Python
SQL

Education

Bachelor’s degree

Tools

Polarion
Jama
DOORS
TestRails
Linux
OxTS

Job description

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.
  • Develop, coordinate, and execute efficient simulation and structured test plans for our autonomy systems, with a focus on perception and sensor performance and how those impact the resulting system driving behavior.
  • Analyze and triage pipeline results that contribute to key launch blocking metrics for software and system releases.
  • Evaluate and characterize the performance of new autonomy sensors and hardware as they are integrated into the Zoox vehicle.
  • Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks.
  • Develop and refine test methodologies to ensure comprehensive coverage of our autonomy system's operational design domain.
  • Communicate test results and analysis to stakeholders, contributing to the overall safety case and fail operational design for our robotaxi.
  • B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering, or a relevant technical field
  • At least 5 years of experience in systems engineering, verification, and validation, or a related role
  • Experience with the development and testing of complex electro-mechanical systems
  • Strong systems-level thinking and the ability to understand and navigate complex technical systems
  • Ability to grapple with ambiguity and collaborate with cross functional teams
  • Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails
  • Proficiency with Python and SQL
  • Experience with autonomous vehicles, robotics, or other safety-critical systems.
  • Experience with simulation environments and hardware-in-the-loop (HIL) testing.
  • Experience with quantitative risk assessments
  • Familiar with AB Dynamics test equipment
  • Experience with Linux Systems, OxTS
  • Familiarity with scala
  • About Zoox
    Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
    Accommodations
    If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
    A Final Note:
    You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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