Senior AI/ML Engineer - Developer Experience 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, Autonomous Vehicles, TechnologyIndustries

Requirements

3+ years of experience designing, building, and operating production systems at scale in the cloud
Understanding of AI Engineering principles and concepts
Experience designing highly scalable, reliable, and maintainable services
Experience writing in effective Go or other equivalent languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Principled reasoning and the 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 leveling up the overall efficiency and effectiveness of the team
Passion for self-driving technology and its potential impact on the world
Preferred Qualifications
5+ years of experience designing, building, and operating production systems at scale in the cloud
Experience working with GCP
Experience working with gRPC, Docker, and Kubernetes

Responsibilities

Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
Synthesize large amounts of company, org, customer information and context to establish priorities and influence the team’s technical roadmap
Evaluate new tools and technologies through PoCs
Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
Drive software engineering best practices within your team, and create tooling which encourages these
Help steer the engineering culture on the team
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team
Set the example for high levels of accountability
Execute and deliver impact both individually and through the team
Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision

Skills

Key technologies and capabilities for this role

AIMLDeveloper ToolsCI/CDDevOpsScalable SystemsTool IntegrationEngineering Leadership

Questions & Answers

Common questions about this position

What experience is required for this Senior AI/ML Engineer role?

Candidates must have 3+ years of experience designing, building, and operating production systems at scale in the cloud, understanding of AI Engineering principles and concepts, experience designing highly scalable, reliable, and maintainable services, and experience writing in effective ways.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the team culture like for this position?

The team emphasizes high accountability, mentoring and growing engineers, steering engineering culture, balancing impact with technical debt, and setting strong boundaries on requests to align with the team vision.

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

A strong candidate is a Senior Engineer with extensive background in developer tools, passion for productivity, ability to identify impact areas with minimal guidance, balance business needs with engineer growth, and lead as an IC while mentoring the team.

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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