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Software Engineer

General Motors

Software and Technology Jobs

Software Engineer

part-timePosted: Jan 15, 2026

Job Description

Description

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.

What You'll Need:  

  • 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.

What Will Give You a Competitive Edge :

  • 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. 

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

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

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Locations

  • Austin, Texas, United States

Salary

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • .NET, Python or Javaintermediate
  • machine learning, deep learning, and statistical modellingintermediate
  • cloud-based AI/ML platforms (AWS, GCP, Azure)intermediate
  • Docker and Kubernetesintermediate
  • AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNowintermediate
  • algorithms, distributed systems, and API developmentintermediate
  • natural language AI, such as customization, summarization and translationintermediate

Required Qualifications

  • 5-7 years’ experience required of software engineering, fluency in .NET, Python or Java. (experience)
  • Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience. (experience)
  • Understanding of machine learning, deep learning, and statistical modelling. (experience)
  • Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerization using Docker and Kubernetes. (experience)
  • Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow. (experience)

Preferred Qualifications

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

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

  • general: 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.

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General Motors logo

Software Engineer

General Motors

Software and Technology Jobs

Software Engineer

part-timePosted: Jan 15, 2026

Job Description

Description

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.

What You'll Need:  

  • 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.

What Will Give You a Competitive Edge :

  • 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. 

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

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

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Locations

  • Austin, Texas, United States

Salary

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • .NET, Python or Javaintermediate
  • machine learning, deep learning, and statistical modellingintermediate
  • cloud-based AI/ML platforms (AWS, GCP, Azure)intermediate
  • Docker and Kubernetesintermediate
  • AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNowintermediate
  • algorithms, distributed systems, and API developmentintermediate
  • natural language AI, such as customization, summarization and translationintermediate

Required Qualifications

  • 5-7 years’ experience required of software engineering, fluency in .NET, Python or Java. (experience)
  • Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience. (experience)
  • Understanding of machine learning, deep learning, and statistical modelling. (experience)
  • Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerization using Docker and Kubernetes. (experience)
  • Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow. (experience)

Preferred Qualifications

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

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

  • general: 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.

Target Your Resume for "Software Engineer" , General Motors

Get personalized recommendations to optimize your resume specifically for Software Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer" , General Motors

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Software Engineer @ General Motors.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.