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Zoox

Senior Staff Software Engineer - Perception & Sensing

On site · Foster City, CA

This role is on site in Foster City, CA.

Locations: Foster City, CA · Boston, MA

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 21 minutes ago.

PayUSD 324,000 – 389,000 per year
Work arrangementOn site
Who can applyPeople who can work in Foster City, CA
LevelLead
TypeFull time
Occupationsoftware developer
LanguageNot stated
Posted3 May 2023
Last verified21 minutes ago
StatusActive

About the role

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forward.

Responsibilities

  • Lead the Sensor Change Playbook workflow, defining the validation process for our next-generation, low-cost vehicle platforms.
  • Partner with PCP V&V to define the Autonomy Technical Specification (ATS) by identifying "bounding" (worst-case) scenarios, particularly those related to winter driving (e.g., heavy snow, ice, sensor occlusion).
  • Work with PCP model owners to architect low-cost stacks that reduce reliance on expensive sensors and accommodate reduced compute (e.g., migrating from 8 GPUs to 1 Thor).
  • Drive the Clearance MoC (Method of Compliance) process for hardware changes, balancing cost, compute constraints, performance and safety.

Qualifications

  • Deep expertise in the PCP Stack, multi-modality fusion, and optimizing architectures for severely constrained compute budgets.
  • Experience in V&V (Validation & Verification) for safety-critical systems, specifically expanding into complex Operational Design Domains (ODDs) like winter weather.
  • Proven ability to influence cross-functional stakeholders (SDMA, AHE, PCP) to align on cost vs. performance trade-offs.
  • The ability or experience of managing or curating datasets for sensor validation or model training

Bonus Qualifications

  • Experience with Autonomy Technical Specifications (ATS) and defining winter/adverse weather bounding scenarios.
  • Experience working with VLM’s.
About ZooxZoox 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.
Follow us on LinkedIn
AccommodationsIf 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.

Qualifications

  • Deep expertise in the PCP Stack, multi-modality fusion, and optimizing architectures for severely constrained compute budgets.
  • Experience in V&V (Validation & Verification) for safety-critical systems, specifically expanding into complex Operational Design Domains (ODDs) like winter weather.
  • Proven ability to influence cross-functional stakeholders (SDMA, AHE, PCP) to align on cost vs. performance trade-offs.
  • The ability or experience of managing or curating datasets for sensor validation or model training
  • Experience with Autonomy Technical Specifications (ATS) and defining winter/adverse weather bounding scenarios.
  • Experience working with VLM’s.

Listed via Zoox · first seen 22 October 2026 · last verified 28 October 2026

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