Software Engineer, Advanced Analytics

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. Were turning todays impossible into tomorrows 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 peopleas we aim to makedriving safer smarter and more connected shaping the future of transportation on a global scale.

GMs Advanced Analytics team turns the engineering organizations data into decisions then builds the software that puts those decisions in front of the people making them.
We do the analytics and data science: forecasting and statistical analysis of program execution the KPIs engineering leadership runs the business on curated Databricks data products across parts bills of material engineering changes warranty and resource demand and a growing amount of AI tooling. Our partners span vehicle hardware engineering software and electronics supplier quality warranty and program management.

The Role

This role serves as the second software engineer on a rapidly growing portfolio supporting endtoend 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 servicelevel 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 Youll Do (Responsibilities)

• Contribute as part of a crossfunctional team to propose and implement highimpact datadriven software and analytic solutions for engineering organizations.
• Build and deliver endtoend features including Python services relational data models and TypeScript/React interfaces.
• Develop and maintain data pipelines that integrate GMs 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 userfriendly 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)

• Bachelors 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 componentbased 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 nonengineering 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 React Server Components or comparable modern fullstack React frameworks.
• Depth in PostgreSQL including schema design query optimization and migration management.
• Experience with Databricks PySpark Delta Lake or similar largescale data processing technologies.
• Experience deploying to Kubernetes on a major cloud platformideally Azureusing GitOps and infrastructureascode 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 analyticsheavy team.
• Familiarity with automotive or manufacturing product development processes such as vehicle program timing PLM or billofmaterial data.
• Experience as an early engineer on a product contributing to foundational patterns and technical direction.

#LI-KM2

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 were looking out for your well-beingat work and at homeso 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

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