General Motors
Software Engineer, Data Software Engineering and Cloud Platforms, Early Careers
$85K
Austin, Texas, United States of America +1 · Hybrid · Entry level · Full-time · Posted Sep 16, 2026
- Location
- Austin, Texas, United States of America
Warren, Michigan, United States of America - Experience
- 0–2 years of software-engineering experience, including internships, co-op experience, academic projects, or equivalent hands-on work.
- Education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role, now or in the future. This includes direct sponsorship, employer-of-record designation on government forms, and work authorization requiring company immigration support (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1).
About the job
Develop, deploy, and support reliable, scalable data platforms and cloud services for GM products, applications, analytics, and engineering workflows.
What you'll do
- Build and improve data and cloud services, including features from design through testing, deployment, and support.
- Apply operational practices such as monitoring, alerting, troubleshooting, and incident response; improve service reliability, performance, cost efficiency, and usability.
- Collaborate with engineering teams, participate in code reviews and design discussions, and help build self-service capabilities.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
- 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, and exposure to a major public cloud provider.
Nice to have
- Familiarity with distributed systems, APIs, microservices, containers, cloud-native development, or observability practices.
- Project experience related to autonomous vehicles, robotics, machine learning, or large-scale data platforms.
Pay
$84,900 - $130, 500 USD base salary
Tools
Java, C++, Go, Python, Azure, GCP, AWS
AI focus
No specific AI work is stated; the role involves collaboration with ML engineers and may support machine-learning-related projects.
Model-written summary · the original posting is authoritative