Senior Software Engineer, Data Science

Senior Software Engineer, Data Science

Hybrid : This role is categorized as hybrid. The successful candidate is expected to report to the Technical / Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) at least three times per week. The position can be located at any of these locations.

Why Join Us

General Motors is at the forefront of transforming transportation through software-driven innovation. We’re driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are cornerstone of our strategy.

Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We’re pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning for faster issue resolution and exceptional vehicle quality.

We’re looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience.

The Role

As a Senior Software Engineer for Data Science, you will lead the development of scalable AI / ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains.

You’ll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape.

What You’ll Do

• Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs.
• Lead AI / ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs.
• Apply statistical methods, anomaly detection, and clustering to uncover patterns.
• Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights.
• Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets.
• Create interactive data visualizations to communicate and interpret complex data.
• Design and build supervised and unsupervised ML models.
• Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLflow, cloud-native services).
• Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments.
• Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms.
• Mentor junior level employees, providing coaching and guidance on difficult issues.

Your Skills & Abilities (Required Qualifications)

What Will Give You a Competitive Edge (Preferred Qualifications)

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.).

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 will vary based on factors relevant to the position, as well as the geography of the selected candidate.

This job may be eligible for relocation benefits.

#J-18808-Ljbffr