Job Description

The Role:

In addition to leading numerical optimization, you will lead a team of experienced Physical Electrical Integration Engineers to apply the optimization tools while executing the following technologies:

• Active Safety
• Interior Lighting
• Audio
• Low Voltage Power
• Chassis
• Occupant Sensing & Comfort
• Compute
• Passive Safety
• Connectivity
• Propulsion
• Displays
• Vehicle Access & Security

Unifying integration strategies across these areas, ensuring packaging, harness optimization, electrical integrity, manufacturability, and cross-functional execution are addressed consistently and early in vehicle development.

This position reports to the Director of Electrical Engineering Integration, the organization responsible for the physical integration strategy of electronics across GM vehicles.

What Youll Do (Responsibilities):

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.
• Optimizepackaging 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.

Your Skills & Abilities (Required Qualifications):

• Bachelors 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.

Personal Attributes/Leadership:

• A leader who turns advanced electrical architecture analysis into scalable, real-world vehicle decisions that raise performance, cut cost, and accelerate development.
• Makes people and things around them better, regardless of direct or indirect responsibility, and leaves behind sustainable improvements that endure over time.
• Empowers themself and their team members, seeks accountability, handles tough situations well, steps up in uncertainty, and makes timely and reversible decisions based on incomplete information.
• Operates strategically and proactively, preventing problems before they become problems.
• Develops core principles, stands by them under pressure, and clearly articulates the why behind decisions.
• Is highly collaborative, listens well, adapts quickly to different situations and audiences, and seeks diverse points of view while maintaining a strong presence.
• Stays curious, embraces appropriate risk-taking, pushes boundaries, and challenges traditional thinking and long-held assumptions.
• Cultivates a culture of continuous improvement and growth, fostering an environment where individuals and teams thrive, and sustained excellence continues after they move on.
• Is an exceptional communicator across leadership, peers, and reports, capable of quickly understanding complex issues, breaking them down, and explaining them clearly to non-experts, including senior executives.
• Runs their organization like a small business, spending company resources thoughtfully, mitigating risk through iterative development and minimum viable solutions, and balancing market awareness with customer focus.
• Is the go-to leader for challenging assignments, works independently while knowing when to align, builds and leverages strong relationships, and consistently gets critical work across the finish line.
• Inspires current and future leaders by example and helps develop these same skills and behaviors in others.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Masters degree (or PhD) in Computational Science, Engineering and Mathematics, Operations Research & Industrial Engineering, Applied Mathematics, Engineering, Computer Science, Physics, or other relevant disciplines.

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.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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