Senior AI/ML Engineer - Autonomy CI Platform

About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers at GM use every day to do their best work and drive our cars forward. We enhance the entire development process—how and where code is checked out, modified, compiled, tested, merged, and deployed—ensuring our AV engineers and others have world-class tools and a seamless development experience so they can focus on the problems that matter most in their domain.

The Role

We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and a passion for developer productivity. As a leader on this team, you will care deeply about the technical development of other engineers and balance the needs of the business, our users, and the growth of our engineers. You will identify how to deliver impact with minimal guidance and adapt your approach based on the situation.

The Team

The Continuous Integration (CI) Platform team owns our CI infrastructure and the tools that improve the CI customer experience. We are part of the AI and Cloud Developer Productivity Organization and provide the building blocks for high-quality CI experiences and workflows. This includes services like Remote Build Execution (RBE), which enables reliable testing at scale, and a FUSE-based network file system for build artifact storage. Our goal is to accelerate AV development by supporting workflows for building, testing, and releasing software.

As part of this team, you will specialize in RBE and our in-house FUSE file system, which supports CI, ML training, simulation, and remote builds. You will work with internal customers to integrate their tools with the FUSE file system, with a primary focus on enabling source code editing in developer environments.

Responsibilities

• Collaborate with engineers across the company to understand and support their development workflows.
• Own technical projects from start to finish, making major technical decisions and tradeoffs.
• Lead complex projects that span teams, with many partners and customers.
• Effectively participate in planning, code reviews, and design discussions.
• Contribute impactful projects to the team’s roadmap.
• Thrive in a fast-paced, collaborative environment where your efforts have visible impact.
• Drive software engineering best practices within the team and across engineering, creating tooling to support these practices.
• Mentor and up-level other engineers on the team.
• Conduct technical interviews with well-calibrated standards and participate in recruiting activities.
• Be a positive contributor to team culture.

Requirements

• 3+ years of experience designing, building, and operating production systems at scale in the cloud.
• Bachelor’s Degree in Computer Science or related field, or equivalent work experience.
• Experience designing highly scalable, reliable, and maintainable services.
• Experience writing in Go, Python, or other languages at production scale.
• Understanding of Unix/Linux, SSH, and networking fundamentals.
• Attention to detail and a desire to improve processes and systems.
• Ability to lead and influence others, both internal and external to the team.
• Ability to research, document, communicate, and defend proposals, and provide and take critical feedback.
• Ability to effectively make trade-offs and communicate the reasoning.
• Ability to manage competing priorities, focus on shipping, and work effectively under pressure.
• Passion for mentoring and growing junior engineers.
• Passion for self-driving technology and its potential impact on the world.

Preferred Qualifications

• Experience working with GCP.
• Experience working with Docker and Kubernetes.
• Experience owning or contributing to open-source projects.

Pay

The salary range for this role is $170,600 to $261,300. The actual base salary will vary based on factors relevant to the position. An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• Medical, dental, and vision insurance.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan.
• Sickness and accident benefits.
• Life insurance.
• Paid vacation and holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.
• Relocation benefits (if eligible).

Schedule

This role is categorized as hybrid. The selected candidate is expected to report to a specific location at least 3 times a week (or other frequency dictated by their manager).