Software Engineer – Planner Frameworks Pipeline

jobs.frontdoordefense.com - Jobboard; Foster City (CA); On-site; USD 192,000 - 241,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Stock Appreciation Rights

Long-term care insurance

Job summary

Zoox is seeking a Software Engineer to enhance autonomous vehicle simulation pipelines in Foster City, California. This role involves improving the reliability and efficiency of production-grade tools and APIs. Candidates should possess over 6 years of software engineering experience, particularly in optimizing distributed systems. Strong skills in Python are essential, and familiarity with AWS is preferred. The position offers a base salary range of $192,000 to $241,000 annually, alongside comprehensive benefits including stock options and health insurance.

Qualifications

• 6+ years of industry experience optimizing large-scale distributed systems.
• Proficient in Python; familiarity with C++ is helpful.
• Experience with AWS or similar providers.

Responsibilities

• Improve cost efficiency, reliability, and performance of validation pipelines.
• Create production-grade APIs, SDKs, and tools for autonomous behavior validations.
• Enhance ML training pipelines for autonomous behavior organization.

Skills

Python

C++

AWS

Cost optimization

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Ray.io

Job description

Software Engineer - Planner Frameworks Pipeline

Build production-grade simulation tooling to validate autonomous vehicle behaviors

Location: Foster City, California, United States San Francisco, California, United States

Compensation: $192,000 - 241,000 USD / year

Job Tags: Software

About The Role

Software Engineer

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development.

We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines.

This is a hands‑on role with a high degree of independence and ownership. You will be expected to contribute towards the framework's architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred.

In this role, you will:

• Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines
• Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors
• Improve the ML training pipelines supporting the autonomous behavior org

Qualifications

• Bachelor's degree in Computer Science or related field and 6+ years of industry experience
• Experience optimizing large-scale distributed systems for cost and efficiencyExperience with AWS or similar providers
• Proficiency with Python and familiarity with C++

Bonus Qualifications

• Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective
• Background in algorithmic optimization or performance investigation
• Experience with Ray.io, particularly Ray Core and Ray Data

$192,000 - $241,000 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.