Software Engineer - Collision Avoidance System Metrics

Socket.dev; Foster City (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

Zoox is seeking a CAS Verification & Validation Engineer to analyze vast driving data and develop metrics to measure system performance. You will collaborate across CAS, Perception, and Planning teams to quantify improvements in autonomous driving.

Strong programming and distributed computing experience are essential for this role. Join Zoox in advancing safety-critical software in a fast-moving, execution-oriented team focused on robust validation plans and metrics for a next-generation

Qualifications

• What you will bring: strong programming skills with C++/Python and solid algorithm design.
• Advanced degree in CS or a related field is preferred.
• Experience with large-scale data analysis and distributed computing is a plus.

Responsibilities

• Apply distributed computing to analyze petabytes of urban driving data.
• Develop metrics and tools to evaluate system performance and errors.
• Collaborate with CAS engineers to measure and improve CAS performance.
• Define metrics for autonomous driving with Perception and Planning teams.
• Work closely with SDMA/QA to validate features and validate performance.

Skills

C++ and Python

Algorithms design

Programming experience

Education

BS/MS/PhD in Computer Science or related field

Tools

Spark

Databricks

MapReduce pipelines

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 [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.