Software Engineer

General Motors • Austin, TX

26d

About The Position

The Role: As a Platform Engineer on the Enterprise AI team, you will play a critical role in shaping GM’s future through high-impact systems. You will implement advanced AI technologies then integrate them into GM’s business strategies, culture, and operational workflows. You’ll be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows. You’ll work closely with other engineers and teams to deliver performant, production-grade systems. What You’ll Do: 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.

Requirements

• 5-7 years’ experience required of software engineering, 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 containerization using Docker and Kubernetes.
• Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.

Nice To Haves

• Self-motivated, strong execution, impact-delivering oriented
• Knowledge of algorithms, distributed systems, and API development.
• Excellent problem-solving skills, with the ability to learn and deliver in a fast-paced environment.
• Experience with natural language AI, such as customization, summarization and translation.

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.

Benefits

• From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees