Software Engineer, Data Software Engineering and Cloud Platforms, Early Careers

General Motors; Warren (MI); Hybrid; USD 85,000 - 131,000; Full time

Job summary

General Motors is seeking entry‑level Software Engineers to join GM’s Data Software Engineering and Cloud teams. You will contribute to data platforms, cloud services, and platform automation, working with engineering peers to build scalable systems.

You’ll learn operational practices, participate in Scrum activities, and gain hands‑on experience with distributed systems and cloud infrastructure in a hybrid work model across multiple U.S. locations, including Warren, MI.

Qualifications

• Bachelor's degree or equivalent real-world experience.
• 0–2 years of software-engineering experience
• Foundational proficiency in at least one programming language (Java/C++/Go/Python)
• Understanding of software engineering fundamentals such as data structures, algorithms, testing, version control, and code review.
• Familiarity with developing or supporting services, applications, or data-processing systems.
• Exposure to at least one major public cloud provider (Azure/GCP/AWS).

Responsibilities

• Contribute to development, deployment, and improvement of data and cloud services.
• Apply operational-excellence practices including SLIs/SLOs, monitoring, alerts, and incident response.
• Collaborate with software, data, ML, and cloud engineers to translate requirements into solutions.
• Implement features from design through testing, deployment, and support with guidance from seniors.
• Participate in sprint planning, code reviews, and documentation.
• Write maintainable, well-tested code to improve reliability and cost efficiency.

Skills

Java

C++

Go

Python

Education

Bachelor's degree in Computer Science/Engineering/Math/Physics

Tools

Azure/GCP/AWS

Job description

Job Description

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 categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.

The Role

We are seeking entry-level Software Engineers to join teams across GM’s Data Software Engineering and Cloud organizations. In these roles, you will contribute to the development, deployment, and support of reliable, scalable data platforms and cloud services that enable business-critical products, applications, analytics, and engineering workflows. You will work alongside experienced software, data, and cloud engineers to build services and tools for data ingestion, processing, storage, serving, and platform automation. This is an opportunity to grow your software-engineering skills while gaining hands‑on experience with distributed systems, cloud infrastructure, and large-scale data platforms.

What You’ll Do

• Contribute to the development, deployment, and improvement of data and cloud services.
• Learn and apply operational-excellence practices, including service-level objectives and indicators, monitoring, alerting, troubleshooting, and incident response.
• Collaborate with software, data, ML, and cloud engineers to understand user needs, translate requirements into technical solutions, and help build self-service capabilities.
• Implement features and technical projects from design through testing, deployment, and support, with guidance from senior team members.
• Participate actively in sprint planning, code reviews, design discussions, documentation, and retrospectives.
• Write maintainable, well-tested code and help improve the reliability, performance, cost efficiency, and usability of team services.
• Develop familiarity with cloud infrastructure, deployment automation, observability, and the full operational lifecycle of production systems.
• Build knowledge of the tools, architectures, and data workflows that support our technology ecosystem.

Your Skills & Abilities

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
• 0–2 years of software-engineering experience, including internships, co‑op experience, academic projects, or equivalent hands‑on work.
• Foundational proficiency in at least one programming language such as Java, C++, Go, or Python.
• Understanding of software‑engineering fundamentals, including data structures, algorithms, testing, version control, and code review.
• Familiarity with developing or supporting services, applications, or data‑processing systems.
• Exposure to at least one major public cloud provider, such as Azure, GCP, or AWS, through coursework, projects, internships, or professional experience.
• Strong problem‑solving, communication, collaboration, and learning skills.
• Interest in contributing to reliable, scalable systems and supporting services in a production environment.

What Can Give You a Competitive Advantage

• Familiarity with distributed systems, APIs, microservices, containers, or cloud‑native development.
• Exposure to deployment automation, monitoring, logging, metrics, or other observability practices.
• Academic, internship, or personal‑project experience related to autonomous vehicles, robotics, machine learning, or large-scale data platforms.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is from $84,900 - $130, 500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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.

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.

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 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.