AI Senior Software Developer
General Motors
AI Senior Software Developer
Job Description
Description
The Role:
As an AI Platform 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.
-
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.
Your Skills & Abilities (Required Qualifications):
-
7-10 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 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 learn and deliver in a fast-paced environment.
-
Experience with natural language AI, such as customization, summarization and translation.
This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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
140,000 - 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
- containerisation using Docker and Kubernetesintermediate
- AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNowintermediate
Required Qualifications
- 7-10 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 containerisation 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 (experience)
- 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: This job may be eligible for relocation 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.
Answer 10 quick questions to check your fit for AI Senior Software Developer @ General Motors.
Related Books and Jobs
AI Senior Software Developer
General Motors
AI Senior Software Developer
Job Description
Description
The Role:
As an AI Platform 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.
-
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.
Your Skills & Abilities (Required Qualifications):
-
7-10 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 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 learn and deliver in a fast-paced environment.
-
Experience with natural language AI, such as customization, summarization and translation.
This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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
140,000 - 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
- containerisation using Docker and Kubernetesintermediate
- AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNowintermediate
Required Qualifications
- 7-10 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 containerisation 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 (experience)
- 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: This job may be eligible for relocation 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.
Answer 10 quick questions to check your fit for AI Senior Software Developer @ General Motors.
Related Books and Jobs