DLA - Senior Engineer

Job Description

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Work Arrangement:

This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.

The Role

Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI’s strategy is to “Execute Design / Simulation / Virtual / Engineering Workshare for the Globe + Enable Factory for the Future”

This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for applying Data Analytics techniques on GM manufacturing processes in GM manufacturing plants across the globe to solve complex manufacturing business problems with big data. In this position, the engineer supports critical business operations and decision making through creation domain data exploration, data processing pipeline, and business intelligence reports.

This is primarily a non-travel job. Business travel will be necessary on special requirements and will be for a short duration. Depending on the need, there will be an International Short-Term assignment for 6 months in the first year for training & development.

What You’ll Do

Design, develop, and maintain full-stack manufacturing intelligence applications using modern frontend, backend, and database technologies

Build intuitive React/TypeScript user experiences for manufacturing dashboards, workflow tools, operational insights, and engineering applications

Develop scalable backend services and APIs using Python and FastAPI or comparable frameworks, with clear service boundaries, resilient error handling, and efficient request processing

Integrate applications with manufacturing and enterprise systems, including MES, SCADA, PLC/controls data, historians, equipment interfaces, and event-driven data services

Design and optimize PostgreSQL data models, queries, and data pipelines for production, quality, equipment, and process information

Implement secure authentication, authorization, auditability, and data-access controls for applications used across GM manufacturing and engineering environments

Deploy and operate applications across enterprise, cloud, and edge environments using Docker, Kubernetes, CI/CD automation, and production monitoring

Create automated unit, integration, and end-to-end tests and establish engineering practices that improve application reliability, maintainability, and release quality

Translate manufacturing and engineering problems into clear technical designs, user stories, acceptance criteria, and measurable product outcomes

Collaborate with controls, manufacturing, quality, data science, cybersecurity, and IT teams to deliver solutions that improve visibility, productivity, quality, and decision-making

Troubleshoot production issues, perform root-cause analysis, and implement performance and reliability improvements across the application stack

Document architecture, APIs, deployment procedures, operating standards, and support processes while contributing to a culture of continuous improvement.

Your Skills & Abilities (Required Qualifications)

Bachelor's or higher degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent experience

Ability to work effectively in both central engineering and plant environments, including time on the plant floor around operating equipment

5+ years of professional software engineering experience building and supporting production full-stack applications

3+ years of experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications across frontend, backend, and data layers

Advanced TypeScript/JavaScript skills with React, including component architecture, state management, data visualization, responsive and accessible user interfaces, and frontend testing

Strong Python development skills with FastAPI or comparable frameworks, including asynchronous programming, REST/OpenAPI service design, request validation, dependency management, and automated testing

Advanced SQL and PostgreSQL skills, including relational data modeling, schema design, migrations, indexing, query and transaction performance, and data-quality controls

Experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications that connect operational data to business and engineering workflows

Experience designing data pipelines and event-driven architectures for equipment telemetry, time-series data, production data, quality data, and manufacturing workflows

Hands-on experience with Git, Docker, Kubernetes, CI/CD automation, environment configuration, and deployment practices for production applications

Demonstrated intermediate-level proficiency with Microsoft Azure services and cloud-based application development.

Experience implementing automated unit, integration, contract, and end-to-end testing, as well as observability using structured logging, metrics, tracing, health checks, and alerting

Working knowledge of application and platform security, including OAuth/OIDC, role-based access control, secrets management, secure coding, vulnerability remediation, and least-privilege design

Demonstrated ability to troubleshoot distributed systems, diagnose performance and reliability issues, and translate manufacturing requirements into maintainable technical designs and production releases

Basic understanding of Databricks and its integration with other systems

Working understanding of automotive manufacturing processes

Working knowledge of applying AI/ML techniques to manufacturing data, including integrating AI services and models into production applications, evaluating model outputs, using prompt engineering or retrieval-augmented generation (RAG), and monitoring AI system performance

What Will Give You a Competitive Edge (Preferred Qualifications)

Intermediate-to-expert proficiency with Databricks, including Spark and SQL data pipelines, Delta Lake, workflow orchestration, data-quality controls, and integration with manufacturing and enterprise systems

Experience integrating OT and IT systems such as MES, SCADA, PLC/controls systems, OPC UA, MQTT, REST APIs, historians, and event or message-based platforms

Experience working with manufacturing data models, time-series data, equipment telemetry, production genealogy, quality data, or process data

Experience building data visualization and analytical user experiences for operational, engineering, quality, or maintenance users

Experience with cloud-native and edge architectures, including Kubernetes, infrastructure as code, distributed systems, and disconnected or intermittently connected environments

Knowledge of GM's controls standards, manufacturing technology standards, or comparable industrial automation and software integration standards

Experience with event-driven architectures, streaming platforms, message queues, data historians, or real-time data processing

Experience implementing observability practices, including structured logging, metrics, distributed tracing, alerting, and service-level objectives

Experience with automated security scanning, software supply-chain controls, vulnerability remediation, and cybersecurity practices for operational technology environments

Experience leading technical design discussions, mentoring engineers, reviewing code, and establishing reusable software patterns across teams

Strong collaborative skills and the ability to communicate effectively with technical and non-technical stakeholders in a fast-paced manufacturing environment

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.

Non-Discrimination and Equal Employment Opportunities

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.

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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