GM
AI
SoftwareEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer at GM. Skills: AI infrastructure, machine learning, AI-driven applications, software systems, Python. 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”
What You'll Achieve.
bring AI solutions into production at scale; deliver performant, production-grade systems
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
3+ years’ experience required of software engineering and Artificial Intelligence, fluency in Python, 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), containerisation using Docker and Kubernetes, Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow
Nice to Have
Self-motivated, 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
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
product teams) to bring AI solutions into production at scale
high-performance software systems with a focus on scalability
Work on technical initiatives in validation
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
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams (data scientists, software engineers, product teams)
Full Job Description
**Job Description** As a Software Engineer on the Enterprise AI team, you will play a critical role in shaping GM’s future through high-impact AI 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. * Work on 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. **Your Skills & Abilities (Required Qualifications):** * 3+ years’ experience required of software engineering and Artificial Intelligence, fluency in Python. * 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. **What Will Give You A Competitive Edge (Preferred Qualifications)** : * Self-motivated, strong execution, impact-delivering oriented * Knowledge of algorithms, distributed systems, and API development. * Excellent problem-solving skills, with the ability to l
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