AI Software Development Manager at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

10+ years’ experience in software engineering, with a strong background in Python, Java and .NET
5+ years’ experience managing an engineering team
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)
No need for GM immigration-related sponsorship (e.g., H-1B, TN, STEM OPT)

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
Manage a team of skilled engineers developing AI technologies and integrating them into GM’s core platforms
Work hands-on with key partners to build AI/ML workflows and deliver performant, production-grade systems

Skills

Key technologies and capabilities for this role

PythonJava.NETAWSAzureGCPContainer OrchestrationAPIsMachine LearningAI InfrastructureScalabilitySecurity

Questions & Answers

Common questions about this position

What experience is required for the AI Software Development Manager role?

Candidates need 10+ years of software engineering experience with strong background in Python, Java, and .NET, plus 5+ years managing an engineering team, and a Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, or equivalent.

What are the preferred qualifications that give a competitive edge?

Preferred skills include understanding enterprise-level application architecture and IT security, experience in cloud performance, self-starter ability to influence across organizations, communication of complex concepts simply, expertise in algorithms, distributed systems, API development, natural language AI, and effective time management.

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 role?

This information is not specified in the job description.

What leadership and soft skills are emphasized for this position?

The role requires ability to define innovative solutions from ambiguous requirements, expert cloud and DevOps knowledge, mentoring junior engineers, fostering innovation, influencing stakeholders across organizations, strategic problem-solving, and communicating complex ideas simply.

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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