Software Engineer, Advanced Analytics

General Motors; United States; Remote; USD 105,000 - 189,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

Health Savings Account (HSA)

Tuition assistance

GM vehicle discounts

Life insurance

Paid vacation and holidays

Job summary

General Motors is seeking a software engineer on a data-focused team to design, build, and deploy end-to-end software solutions for engineering systems.

You will work with Python services, React interfaces, and SQL data models, while developing data pipelines and collaborating with data scientists to deliver scalable products. The role emphasizes production deployment and observability in a remote work setting.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience building and shipping production software.
• Proficiency in Python and TypeScript/JavaScript with React.
• Working knowledge of SQL and relational data modeling.
• Experience guiding a feature from ambiguous requirements through design to production deployment.
• Ability to work with non-engineering stakeholders to translate needs into technical decisions.

Responsibilities

• Contribute as part of a cross-functional team to propose and implement data-driven software and analytics solutions.
• Build and deliver end-to-end features, including Python services, data models, and TypeScript/React interfaces.
• Develop and maintain data pipelines integrating GM's systems into applications and data products.
• Collaborate with data scientists to operationalize analytics and deliver to end users via scalable products.
• Deploy and operate production systems using Kubernetes on Azure, CI/CD, and infrastructure-as-code.
• Partner with stakeholders across hardware, software, electronics, supplier quality, and program management.
• Ensure intuitive interfaces with daily usability and engineering feedback.
• Lead code reviews, testing, and documentation to maintain high engineering standards.

Skills

Python

TypeScript/JavaScript

React

SQL

Data pipelines

Kubernetes

Azure

CI/CD

Observability

Education

Bachelor's degree in Computer Science or Engineering

Tools

Postgres

Databricks

Kubernetes

Azure

SQLAlchemy

Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. GM's Advanced Analytics team turns the engineering organization's data into decisions, then builds the software that puts those decisions in front of the people making them.

The Role

This role serves as the second software engineer on a rapidly growing portfolio, supporting end‑to‑end feature development. Work often begins with understanding how vehicle program stakeholders operate and extends through designing schemas, building APIs, developing interfaces, wiring data pipelines, and monitoring service‑level objectives after deployment.

Weekly work may span tuning Postgres query plans, building and refining React components, writing Databricks jobs, and adjusting Kubernetes manifests. As the software engineer embedded within a team of data scientists, the position is responsible for defining and executing how software solutions are built.

What You'll Do (Responsibilities)

• Contribute as part of a cross‑functional team to propose and implement high‑impact, data‑driven software and analytic solutions for engineering organizations.
• Build and deliver end‑to‑end features, including Python services, relational data models, and TypeScript/React interfaces.
• Develop and maintain data pipelines that integrate GM’s engineering systems of record into applications and data products.
• Collaborate with data scientists to operationalize analytical work and deliver it to end users through scalable products.
• Deploy and operate production systems using Kubernetes on Azure, CI/CD workflows, infrastructure as code, and modern observability practices.
• Partner with stakeholders across vehicle hardware, software, electronics, supplier quality, and program management to translate workflows into adoptable software solutions.
• Ensure interfaces are intuitive and user‑friendly, with attention to daily usability and feedback from engineering teams.
• Participate in and lead code reviews, testing efforts, and documentation to maintain high engineering standards.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, or a related field
• 2+ years of experience building and shipping production software
• Proficiency in Python and TypeScript/JavaScript, including experience with modern component‑based web frameworks such as React.
• Working knowledge of SQL and relational data modeling.
• Experience guiding a feature from ambiguous requirements through design, implementation, testing, code review, and production deployment.
• Ability to work directly with non‑engineering stakeholders and translate their needs into clear technical decisions.

What Will Give You a Competitive Edge (Preferred Qualifications)

• 3+ years of experience writing production-quality software
• Experience with FastAPI or other asynchronous Python web frameworks, and familiarity with SQLAlchemy.
• Background in Next.js, React Server Components, or comparable modern full‑stack React frameworks.
• Depth in PostgreSQL, including schema design, query optimization, and migration management.
• Experience with Databricks, PySpark, Delta Lake, or similar large‑scale data processing technologies.
• Experience deploying to Kubernetes on a major cloud platform—ideally Azure—using GitOps and infrastructure‑as‑code practices.
• Strong attention to user experience and design systems.
• Experience integrating enterprise systems of record and building reliable data products on top of them.
• Prior work as the software engineer on a data‑ or analytics‑heavy team.
• Familiarity with automotive or manufacturing product development processes, such as vehicle program timing, PLM, or bill‑of‑material data.
• Experience as an early engineer on a product, contributing to foundational patterns and technical direction.

Compensation

• The expected base compensation for this role is $104,500- $189,100 USD Annually
• Actual base compensation within the identified 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.

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 based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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.

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 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.