Similar Jobs at General Motors
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manages relationships with Buick and GMC dealerships across an assigned territory, providing coaching, performance analysis, inventory optimization, and business planning. Drives vehicle, parts, accessory, and service sales; supports product launches, EV adoption, training compliance, and GM program execution. Resolves dealership and customer concerns, tracks action plans, and collaborates with GM stakeholders. This field-based role requires frequent travel, residence or relocation near Cape Girardeau, and legal operation of a motor vehicle.
Top Skills:
Gm Consensus Allocation SystemGoogle WorkspaceVehicle Ordering System
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Designs and delivers trustworthy AI, machine-learning, data, and software solutions from problem definition through production operation. Responsibilities include predictive and generative AI development, data and feature engineering, application and API delivery, evaluation, monitoring, responsible AI governance, and technical leadership. The role requires production-quality Python and SQL, large-scale data platform experience, cloud and AI tooling, and the ability to guide cross-functional teams in deploying secure, maintainable AI capabilities.
Top Skills:
SparkAzureAzure AiAzure Ai FoundryCi/CdDatabricksEmbeddingsGitGleanLarge Language ModelsMlflowNumpyPandasPysparkPythonPyTorchRest ApisRetrieval-Augmented GenerationScikit-LearnSQLTensorFlowVector Search
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads a field-based team supporting GM dealerships with parts revenue, service operations, customer retention, warranty administration, technician training, and customer experience. Owns zone revenue and performance KPIs, analyzes dealer marketing and merchandising, implements business plans and countermeasures, and drives continuous improvement. Requires strong automotive business knowledge, leadership experience, data analysis skills, frequent travel, and residence or relocation within the assigned territory.
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Build and deploy end-to-end software and analytics products for engineering teams. Responsibilities include developing Python services, TypeScript/React interfaces, relational data models, data pipelines, APIs, and Databricks jobs. The role also involves collaborating with data scientists and stakeholders, deploying production systems on Kubernetes and Azure, maintaining CI/CD and infrastructure-as-code workflows, monitoring services, and contributing to testing, code reviews, documentation, and user-friendly product design.
Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
GM's Advanced Analytics team turns the engineering organization's data into decisions, then builds the software that puts those decisions in front of the people making them.
We do the analytics and data science: forecasting and statistical analysis of program execution, the KPIs engineering leadership runs the business on, curated Databricks data products across parts, bills of material, engineering changes, warranty, and resource demand, and a growing amount of AI tooling. Our partners span vehicle hardware engineering, software and electronics, supplier quality, warranty, and program management.
The Role
This role serves as the second software engineer on a rapidly growing portfolio, supporting end-to-end feature development. Work often begins with understanding how vehicle program stakeholders operate and extends through designing schemas, building APIs, developing interfaces, wiring data pipelines, and monitoring service-level objectives after deployment.
Weekly work may span tuning Postgres query plans, building and refining React components, writing Databricks jobs, and adjusting Kubernetes manifests. As the software engineer embedded within a team of data scientists, the position is responsible for defining and executing how software solutions are built .
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-KM2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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 [email protected] or call us at 1-800-865-7580. 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.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
GM's Advanced Analytics team turns the engineering organization's data into decisions, then builds the software that puts those decisions in front of the people making them.
We do the analytics and data science: forecasting and statistical analysis of program execution, the KPIs engineering leadership runs the business on, curated Databricks data products across parts, bills of material, engineering changes, warranty, and resource demand, and a growing amount of AI tooling. Our partners span vehicle hardware engineering, software and electronics, supplier quality, warranty, and program management.
The Role
This role serves as the second software engineer on a rapidly growing portfolio, supporting end-to-end feature development. Work often begins with understanding how vehicle program stakeholders operate and extends through designing schemas, building APIs, developing interfaces, wiring data pipelines, and monitoring service-level objectives after deployment.
Weekly work may span tuning Postgres query plans, building and refining React components, writing Databricks jobs, and adjusting Kubernetes manifests. As the software engineer embedded within a team of data scientists, the position is responsible for defining and executing how software solutions are built .
What You'll Do (Responsibilities)
- Contribute as part of a cross-functional team to propose and implement high-impact, data-driven software and analytic solutions for engineering organizations.
- Build and deliver end-to-end features, including Python services, relational data models, and TypeScript/React interfaces.
- Develop and maintain data pipelines that integrate GM's engineering systems of record into applications and data products.
- Collaborate with data scientists to operationalize analytical work and deliver it to end users through scalable products.
- Deploy and operate production systems using Kubernetes on Azure, CI/CD workflows, infrastructure as code, and modern observability practices.
- Partner with stakeholders across vehicle hardware, software, electronics, supplier quality, and program management to translate workflows into adoptable software solutions.
- Ensure interfaces are intuitive and user-friendly, with attention to daily usability and feedback from engineering teams.
- Participate in and lead code reviews, testing efforts, and documentation to maintain high engineering standards.
Your Skills & Abilities (Required Qualifications)
- Bachelor's degree in Computer Science, Engineering, or a related field
- 2+ years of experience building and shipping production software
- Proficiency in Python and TypeScript/JavaScript, including experience with modern component-based web frameworks such as React.
- Working knowledge of SQL and relational data modeling.
- Experience guiding a feature from ambiguous requirements through design, implementation, testing, code review, and production deployment.
- Ability to work directly with non-engineering stakeholders and translate their needs into clear technical decisions.
What Will Give You a Competitive Edge (Preferred Qualifications)
- 3+ years of experience writing production-quality software
- Experience with FastAPI or other asynchronous Python web frameworks, and familiarity with SQLAlchemy.
- Background in Next.js, React Server Components, or comparable modern full-stack React frameworks.
- Depth in PostgreSQL, including schema design, query optimization, and migration management.
- Experience with Databricks, PySpark, Delta Lake, or similar large-scale data processing technologies.
- Experience deploying to Kubernetes on a major cloud platform-ideally Azure-using GitOps and infrastructure-as-code practices.
- Strong attention to user experience and design systems.
- Experience integrating enterprise systems of record and building reliable data products on top of them.
- Prior work as the software engineer on a data- or analytics-heavy team.
- Familiarity with automotive or manufacturing product development processes, such as vehicle program timing, PLM, or bill-of-material data.
- Experience as an early engineer on a product, contributing to foundational patterns and technical direction.
#LI-KM2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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 [email protected] or call us at 1-800-865-7580. 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.
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