Software Engineer - Collision Avoidance System Metrics
- Location
- Foster City, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 30 days ago
Skills & highlights for this role
- software engineering
- sensor data processing
- metrics development
- validation
Also useful
- deep learning
- perception algorithms
About the role
The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle's overall safety goals.
CAS Perception is responsible for processing raw sensor data from our vehicle's world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints.
Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.
The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features.
From Zoox's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Software Engineer - Collision Avoidance System Metrics role at Zoox, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
All Software Developer jobs- Software DeveloperAccenture Federal Services · Washington, DC · $97.5k – $115k/yr
- Software Developer 803Freedom Technology Solutions Group · Annapolis Junction, MD · $150k – $200k/yr
- Software DeveloperPurvis Systems · Newport, RI
- NASA Human Spaceflight Artificial Intelligence (AI) Software Engineer and Data ScientistCACI · Houston, TX
- Senior Manager Software EngineeringNasdaq · Atlanta, GA
- Software Engineering Supervisor - Test SystemsMoog · Torrance, CA
Common questions
Where is the Software Engineer - Collision Avoidance System Metrics job at Zoox located?
This Software Engineer - Collision Avoidance System Metrics position at Zoox is located in Foster City, CA (On-site). Always check Zoox's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer - Collision Avoidance System Metrics at Zoox?
For the Software Engineer - Collision Avoidance System Metrics role, Zoox highlights experience with software engineering, sensor data processing, metrics development, validation. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer - Collision Avoidance System Metrics position at Zoox?
This listing links directly to Zoox's Lever application page. You can apply directly on Zoox's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.