Software Engineer - Collision Avoidance System Metrics

Zoox

Foster City, CA Hybrid

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Job Description

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.

In this role, you will:

Apply distributed computing algorithms to analyze petabytes of urban driving data.

Develop metrics and tools to analyze errors and system improvements.

Work closely with CAS engineers to evaluate system performance.

Collaborate with Perception engineers to define metrics for autonomous driving.

Partner with Planning engineers to measure performance in complex urban environments.

Qualifications:

BS, MS, or PhD degree in computer science or a related field

Fluency in C++ and/or Python

Extensive experience with programming and algorithm design

Bonus Qualifications:

Experience with analysis of latency for safety-critical software systems

Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)

Background in Bayesian statistics

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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Zoox

Robotics & Autonomy · 500+ Members · Foster City, CA, United States

Zoox, an Amazon subsidiary, develops an autonomous ride-hailing service and a purpose-built electric robotaxi. Rather than adapting a conventional car, it designed a bidirectional vehicle around autonomous operation, passenger use, and dense urban mobility. The company develops the vehicle, autonomous-driving software, sensing, simulation, fleet systems, and rider experience as one integrated service. Zoox is progressing from testing toward commercial robotaxi operations with safety and controlled deployment at the center of its approach.

All jobs at Zoox

Job Overview

Approx. salary range

205K – 338K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 25 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility

United States Right to work in the United States required.

Workplace

Hybrid

Job Posted:

4 days ago

Job Type

Full Time

Education

Any

Experience

3-4 years