Senior AI/ML Engineer - Build Platform at General Motors

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, AI, Autonomous VehiclesIndustries

Requirements

3+ years of experience leading and driving large-scale, cross-team initiatives
Experience working on developer tooling, Python, docker, etc
Experience leading projects across multiple teams
Attention to detail, and a desire to improve processes & systems around you
Deep understanding of the business and operational impact for different technology tradeoffs
Passionate about self-driving technology and its potential impact on the world
(Preferred) 5+ years experience designing, building, and operating production systems at scale in the cloud
(Preferred) Experience programming with C++ or Go
(Preferred) Experience with compilers (clang, gcc, nvcc, etc)
(Preferred) Experience with build systems such as Bazel or Buck
(Preferred) Experience with cloud infrastructure

Responsibilities

Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity
Collaborate with engineers across the company to understand and support their development workflows
Own technical projects from start to finish and be responsible for 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 work environment where impact is a result of your efforts and where your contribution is highly visible
Drive software engineering best practices both within our team and across engineering. Create tooling that encourages and supports these practices
Mentoring and up-leveling other engineers on the team
Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities
Be a positive contributor to our team culture

Skills

Key technologies and capabilities for this role

AIMLPythonDockerBazelRemote Bazel ExecutorRBEContent Addressable StorageCASBuild SystemsDeveloper Tools

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require office work?

This information is not specified in the job description.

What key skills and technologies are required for this Senior AI/ML Engineer role?

The role requires extensive engineering background, experience with developer tools including Bazel, Remote Bazel Executor (RBE), Content Addressable Storage (CAS), Python, and Docker, plus passion for developer productivity.

What is the team culture like for the Build Platform team?

The team thrives in a fast-paced, collaborative work environment where impact is a result of your efforts and contributions are highly visible, with a focus on optimizations, new tooling, and driving software engineering best practices.

What makes a strong candidate for this Senior AI/ML Engineer position?

A strong candidate has extensive engineering background, experience with developer tools, passion for developer productivity, leadership in technical development of others, ability to own projects from ideation to production, and mentoring skills.

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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