Software Engineer - Collision Avoidance System Metrics

Zoox; Boston (MA); On-site; USD 185,000 - 251,000; Full time

Benefits offered by this job

RSUs

Stock Appreciation Rights

Health insurance

Paid time off

Disability insurance

Life insurance

Job summary

Zoox is seeking a CAS Verification & Validation engineer to apply distributed computing to petabytes of urban driving data and to develop metrics that measure system performance.

You will work closely with CAS, perception, and planning engineers to define metrics for autonomous driving, evaluate latency in safety-critical software, and help validate features in dense urban environments. This on-site role is based in Boston.

Qualifications

• BS, MS, or PhD in computer science or a related field.
• Fluency in C++ and/or Python.
• Extensive experience with programming and algorithm design.

Responsibilities

• Analyze petabytes of urban driving data using distributed computing.
• 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.

Skills

C++

Python

Algorithms

Education

BS in CS

MS in CS

PhD in CS

Tools

Spark

Databricks

MapReduce

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

$185,000 - $251,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] 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.