Engineering Group Manager – Electrical Integration, Numerical Optimization

• 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 tool chains, 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.

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.

• 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 (Sci Py, Num Py, 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, Solid Works, 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.

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.

• Numerical Optimization
• Python Proficiency
• C++ Proficiency
• CAD/CAE Integration
• Post-Crash Electrical Integrity

• Numerical Optimization
• Gradient Descent
• Genetic Algorithms
• Sequential Quadratic Programming
• Multidisciplinary Design Optimization
• Python
• C++
• MATLAB/Simulink
• CAD/CAE Integration
• Electrical Network Design

• Leadership
• Analytical Capabilities
• Cross-Functional Collaboration

• Vehicle Development
• Electrical Architecture
• Assembly Sequencing Optimization
• Manufacturing Assembly Processes
• Electrical Redundancy

• Sci Py
• Num Py
• Pyomo
• Ansys
• Abaqus
• Solid Works
• OpenFOAM