Senior/Staff Software Engineer - Collision Avoidance System

buted compute algorithms to efficiently analyze petabytes of urban driving data

• You will develop metrics and tools for analyzing errors and understanding improvements in our systems

• You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time

• You will engineer software that is fault-tolerant and conforms to automotive safety standards

• You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments

Qualifications

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

• Fluency in C++

• Extensive experience with programming and algorithm design

• 8+ years of experience in a related field

Bonus Qualifications

• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines

• Experience with latency of analysis and optimization of safety critical software systems

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

• CUDA programming experience

• Prior experience with Prediction and/or autonomous vehicles in general

• Strong mathematics skills

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 - $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.