Senior Software Engineer, Applied Analytics

General Motors

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States • California

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💰 $134,000 - $205,000 per year

Senior

AngularAzureCloudD3.jsJavaScriptKubernetesMicroservicesNode.jsPythonReactTypeScriptVault

About the role

Lead deployment of scalable AI/ML powered analytics and prognostics applications in a cloud environment.
Build data pipelines, deploy scalable, AI-driven solutions, and create interactive web apps that deliver measurable impact across vehicle engineering and customer experience.
Collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions.
Contribute to executive decision-making, product launch strategies, and data-driven quality improvements.
Lead front-end and back-end software architecture, design, and development ensuring alignment with GM technology and security standards.
Implement software validation, testing, code review, documentation, and production monitoring processes.
Work with partner teams such as data governance, infrastructure, architecture, and operations on platform management and technology migrations as required.
Keep up with new trends and technologies and actively seek ways to increase productivity, including using GenAI where appropriate.
Encourage continuous learning, knowledge sharing, and development within the team and the broader software engineering community.
If located within a 50-mile radius of Warren (MI), Austin (TX), or Mountain View (CA), report to that location three times a week at minimum.

Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field.
Minimum of 5 years of hands-on experience delivering enterprise-scale software products.
Experience with visualization tools (Power BI) and libraries (D3.js, Plotly).
Experience building interactive web apps (Databricks apps, Azure Apps).
Advanced proficiency in front-end development (React, Angular, TypeScript, HTML/CSS).
Advanced proficiency in back-end development (Node.js, Python).
Deep understanding of hybrid-cloud and cloud-native software architecture, system design, and security, including microservices and containerization using Azure, Azure Key Vault, App Services, and Azure Kubernetes Services (or similar cloud platforms).
Experience with CI/CD processes, including automated builds, deployments, and pipeline development.
Familiarity with data science use cases and machine learning development lifecycle.
Exceptional analytical and independent problem-solving capabilities.
Strong listening and communication skills and ability to collaborate cross-functionally.
Proven ability to lead engineering projects, mentor early-career developers, and collaborate with data scientists, product managers, and non-technical stakeholders.
Work authorization: GM does not provide immigration-related sponsorship for this role (no H-1B, OPT, STEM OPT, CPT, TN, J-1, etc).