Staff AI/ML Engineer, Developer Productivity

Description

The AI Cloud and Developer Productivity organization builds and maintains the tools and services that engineers at the company use daily, covering every step from checking out code to deployment.

The goal is to give autonomous vehicle engineers reliable, well-built tools so they can concentrate on the hardest problems in their area.

The AV Developer Tools team builds AI-native tools and services for deploying consistent, secure agentic workflows, with visibility into usage across hosted and on-device systems.

The team provides building blocks that let product teams instrument their services for debugging, performance, reliability and availability, including best practices and opinionated drop-in libraries.

The aim is to speed up AV development by improving developer workflows, performance and observability.

Responsibilities

• Find engineering pain points and design, build and ship reliable, scalable, maintainable fixes.
• Shape the team's technical roadmap.
• Assess new tools and technologies through proof-of-concept work.
• Ship toolchain and service improvements that measurably boost engineering productivity and core company metrics.
• Promote software engineering best practices on the team and build tooling that makes them easy to follow.
• Help shape the team's engineering culture.
• Help the team balance delivering impact against paying down technical debt.
• Mentor and develop engineers on the team.
• Model strong accountability and deliver results both personally and as a team.
• Set clear boundaries on incoming requests and push back on those that do not fit the team's vision.
• You will work with minimal guidance, deciding where you can have the most impact, which may change with each situation.

Requirements

• 5+ years designing, building and running production systems at scale in the cloud.
• A bachelor's degree in computer science or a related field, or equivalent work experience.
• Experience designing highly scalable, reliable and maintainable services.
• Production experience writing code in Go, Python or other languages.
• Working knowledge of Unix/Linux, SSH and networking fundamentals.
• Attention to detail and a drive to improve the processes and systems around you.
• Ability to lead and influence people inside and outside the team.
• Ability to research, document, communicate and defend proposals, and to give and accept hard feedback.
• Ability to make sound trade-offs and explain your reasoning.
• Ability to juggle competing priorities, stay focused on shipping and perform under pressure.
• Enjoy mentoring and growing junior engineers.
• Genuine interest in self-driving technology and its potential impact on the world.
• Nice to have: experience applying LLMs, skills and MCPs to coding and code review workflows.
• Nice to have: experience working with GCP.
• Nice to have: experience working with Docker and Kubernetes.
• Nice to have: experience owning or contributing to open-source projects.

Conditions

Base salary range is $180,000 to $284,000. The offer within that range depends on job-related factors.

Pay shown is a good-faith estimate under applicable state law and may not apply to positions outside New York, Colorado, California or Washington.

The role is hybrid, requiring you to be on site at a specific location at least 3 days a week, or as your manager sets.

Relocation support is available for candidates who qualify under company policy.

Equal opportunity: the company is committed to an inclusive, discrimination-free workplace.

Some roles may require a role-related assessment or pre-employment screening before you start.

Benefits

• Incentive pay tied to company performance, job level and individual performance.
• Medical, dental and vision coverage, plus a Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan, sickness and accident benefits, and life insurance.
• Paid vacation and holidays, tuition assistance, and an employee assistance program.
• Employee vehicle discounts and more.