AI Senior Software Engineer 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

AutomotiveIndustries

Requirements

10+ years’ experience in software engineering, with a strong background in Python, Java and .NET
Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, or equivalent experience
Ability to define and propose innovative solutions to business problems and projects that may begin with ambiguous requirements and requests
Expert knowledge of cloud platforms such as AWS, Azure, or GCP, and container orchestration technologies
Experience adapting and designing AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow
Experience with DevOps practices and CI/CD tools, pipelines, and scripting for automation
Ability to legally operate a motor vehicle on a regular basis (with successful completion of a Motor Vehicle Report review)

Responsibilities

Design, develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms
Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale
Design and implement robust, high-performance software systems with a focus on scalability, security, and efficiency
Lead technical initiatives in validation, deployment, and monitoring in real-world environments
Design and implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools
Optimize cloud resources for cost, performance, and scalability
Mentor and guide junior engineers, fostering a culture of innovation and technical excellence

Skills

Key technologies and capabilities for this role

PythonJava.NETAWSAzureGCPcontainer orchestrationAPIsmachine learningAI infrastructure

Questions & Answers

Common questions about this position

What experience and skills are required for this AI Senior Software Engineer role?

Candidates need 10+ years of software engineering experience with a strong background in Python, Java, and .NET, plus a Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, or equivalent. Expert knowledge of cloud platforms like AWS, Azure, or GCP, container orchestration, DevOps practices, CI/CD tools, and AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday, and ServiceNow is also required.

What does the role involve in terms of collaboration and leadership?

You'll collaborate with cross-functional teams including data scientists, software engineers, and product teams to bring AI solutions to production, lead technical initiatives, and mentor junior engineers while fostering innovation.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What preferred qualifications will give me a competitive edge?

Preferred skills include understanding enterprise architecture and IT security, cloud performance experience, self-starter traits with influence across organizations, communication of complex ideas simply, expertise in algorithms, distributed systems, API development, natural language AI, and strong problem-solving in fast-paced settings.

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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