Engineering Group Manager – Electrical Integration, Numerical Optimization

General Motors

Engineering Group Manager leading Electrical Integration & Numerical Optimization at General Motors. Driving optimization of physical design/layout and improving vehicle electronics integration for smarter, safer vehicles.

Posted 7/23/2026full-timeWarren • Missouri • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Numerical Optimization techniques and Engineering Frameworks, with proficiency in Python, C++, and CAD/CAE integration. Capable of leading cross-functional teams to optimize vehicle electrical architectures and packaging strategies for enhanced efficiency and cost-effectiveness.

Highest-signal resume keywords

Numerical OptimizationPython ProficiencyC++ ProficiencyCAD/CAE IntegrationPost-Crash Electrical Integrity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Numerical OptimizationGradient DescentGenetic AlgorithmsSequential Quadratic ProgrammingMultidisciplinary Design OptimizationPythonC++MATLAB/SimulinkCAD/CAE IntegrationElectrical Network Design

Soft Skills

LeadershipAnalytical CapabilitiesCross-Functional Collaboration

Tools & Technologies

SciPyNumPyPyomoAnsysAbaqusSolidWorksOpenFOAM

Industry Keywords

Vehicle DevelopmentElectrical ArchitectureAssembly Sequencing OptimizationManufacturing Assembly ProcessesElectrical Redundancy

Tech Stack

Tools & technologies

AssemblyNumpyPython

About the role

Key responsibilities & impact

You will drive one of the most cross-functional and high-impact areas of vehicle development at General Motors.
Develop and apply computer-driven optimization of physical product layout/design under real constraints like space, geometry, wiring rules, assembly efficiency, and serviceability.
Build advanced toolchains, methods, and processes that enable rapid optimization of design, packaging, and integration at the speed required for iterative development.
Optimize total enterprise cost across architectures and programs.
Optimize packaging for a given set of modules.
Inform the design of future electrical architectures.
Lead cross-functional collaboration and drive architecture and program development by laying out the electrical system alongside critical architectural systems such as body structure, propulsion, occupant package, and studio theme.
Shape advanced vehicle development by improving electronics packaging strategies that reduce wiring harness cost, complexity, and downstream tradeoff inefficiencies.
Develop expertise and standards in critical areas such as post-crash electrical integrity, network design, electrical redundancy, manufacturing assembly processes, module flashing, and sequencing for efficient installation.
Drive operational excellence by balancing cost, mass, assembly effort, manufacturing sequencing, and quality to achieve world-class integration and efficiency.
Set the vision for the organization to drive speed and innovation in electrical packaging and physical integration, enabling industry leading vehicles that are smarter, safer, and more cost-efficient.

Requirements

What you’ll need

Bachelor’s degree (or higher) in Computational Science, Engineering and Mathematics, Operations Research & Industrial Engineering, Applied Mathematics, Engineering, Computer Science, Physics, or other relevant disciplines.
Applicable experience in leading development and application of tools: Numerical Optimization: Experience with algorithms like Gradient Descent, Genetic Algorithms, SQP (Sequential Quadratic Programming), or MDO (Multidisciplinary Design Optimization). They should know when to use a gradient-based solver versus a global, derivative-free heuristic.
Engineering Frameworks & Languages: Proficiency in Python (SciPy, NumPy, Pyomo), C++ (for performance-critical solvers), or MATLAB/Simulink. Experience with Julia is also a huge plus in modern scientific computing.
CAD/CAE Integration: Experience writing plugins, scripts, or standalone tools that interact with commercial engineering software (like Ansys, Abaqus, SolidWorks, or OpenFOAM) via APIs.
8+ years of engineering experience in a technical environment with strong analytical capabilities.
Ability to pull together total enterprise solutions and recommendations for programs.
Proven leadership experience in vehicle execution and total vehicle physical packaging, including experience using computer aided drafting software.
Experience with post-crash electrical integrity requirements, assembly sequencing optimization, module flashing, and network design and balancing.

Benefits

Comp & perks

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.