AI Platform Engineer at General Motors

Dublin, County Dublin, Ireland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

7-10 years’ experience in software engineering, with fluency in .NET, Python or Java
Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience
Understanding of machine learning, deep learning, and statistical modelling
Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerisation using Docker and Kubernetes
Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow

Responsibilities

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
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
Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools

Skills

Key technologies and capabilities for this role

.NETPythonJavaAWSGCPAzureDockerKubernetesMachine LearningDeep LearningAPIsStatistical Modeling

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

This role is hybrid, requiring the successful candidate to report to the Dublin office three times per week at minimum.

What are the required skills and qualifications for this position?

Candidates need 7-10 years of software engineering experience with fluency in .NET, Python, or Java, a Bachelor’s degree in Computer Science, Data Science, AI/ML or equivalent, understanding of machine learning, deep learning, and statistical modeling, familiarity with cloud-based AI/ML platforms like AWS, GCP, Azure, containerization using Docker and Kubernetes, and experience adapting AI integrations with tools like Slack, Google Workspace, Moveworks, Glean, Copilot, Workday, and/or ServiceNow.

What salary or compensation does this role offer?

This information is not specified in the job description.

What is the company culture like at GM?

GM fosters a culture of inclusion where every employee feels they belong to one team, driving meaningful change through words, deeds, and culture, with a vision for Zero Crashes, Zero Emissions, and Zero Congestion.

What makes a candidate competitive for this AI Platform Engineer role?

Preferred qualifications include being self-motivated with strong execution and impact-delivery orientation, knowledge of algorithms, distributed systems, and API development, excellent problem-solving skills in a fast-paced environment, and experience with natural language AI such as customization, summarization, and translation.

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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