Senior Software Engineer, Applied Analytics at General Motors

Warren, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

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

Responsibilities

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

Skills

Software Engineering

Data Pipelines

AI/ML

Cloud Computing

Machine Learning

Large Language Models

LLMs

Prognostics

Web Applications

Telemetry Data

Analytics

Python

Scalable Systems

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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