Senior Software Engineer, Applied Analytics

Job Description

Senior Software Engineer, Applied Analytics

Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical / Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This 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 a 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 driving faster issue resolution and launching vehicles with exceptional quality.

We’re looking for a Senior Software Engineer to build data pipelines, deploy scalable, AI-driven solutions, create interactive web apps that deliver measurable impact across vehicle engineering and customer experience.

The Role

As a Senior Software Engineer, you’ll lead the deployment 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

Collaborate with data scientists, and stakeholders to deliver applications that train and serve machine learning models and create apps that make large datasets available to wider audience

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 to ensure user satisfaction, quality, and supportability.

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.

Your Skills & Abilities (Required Qualifications)

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), interactive web apps (Databricks apps, Azure Apps)

Advanced proficiency in both front-end development (React, Angular, TypeScript, HTML / CSS) and 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 effectively with data scientists, product managers, and non‑technical stakeholders.

What Will Give You a Competitive Edge (Preferred Qualifications)

Experience with developing and deploying data pipelines

Experience with Databricks Delta Lake, Mlflow, Unity Catalog.

Experience integrating machine learning models and Databricks workflows.

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 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 $134,000 - $226,000. 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 : 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.

This job may be eligible for relocation benefits.

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.

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 or call us at 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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