Engineering Group Manager, Electrical Integration & Numerical Optimization

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

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Work type
Hybrid
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Posted
11 days ago
Freshness
Confirmed live yesterday
Closes
Sep 22, 2026

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Similar $203k
$141k most similar roles pay here $253k

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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TL;DR · Engineering Group Manager, Electrical Integration & Numerical Optimization

Engineering Group Manager- Electrical Integration & Numerical Optimization leads a team of Physical Electrical Integration Engineers within the Vehicle Software & Electronics Platform Engineering department. This role focuses on developing and applying industry-leading numerical optimization tools to determine optimal electronics placement across global vehicle lineups. The manager will build advanced toolchains, methods, and processes to optimize physical product layouts under constraints like space, geometry, and assembly efficiency while ensuring electrical integrity and manufacturability. Key responsibilities include managing cross-functional collaboration for systems such as active safety, propulsion, and connectivity. Required technical skills include proficiency in Python (SciPy, NumPy, Pyomo), C++, MATLAB/Simulink, or Julia, along with experience in algorithms like Gradient Descent, Genetic Algorithms, and SQP. The role solves complex trade-offs in electrical architecture to improve cost, performance, and development velocity for next-generation software-defined vehicles.

What you'll do

  • Develop and implement numerical optimization tools to determine optimal placement for vehicle electronics.
  • Build advanced toolchains and processes to accelerate design packaging and integration during iterative development.
  • Lead a team of engineers to integrate systems including active safety, lighting, audio, and propulsion.
  • Optimize electrical architecture designs to reduce wiring harness costs, complexity, and manufacturing inefficiencies.
  • Establish standards for post-crash electrical integrity, network design, and assembly sequencing.
  • Balance cost, mass, and assembly effort to achieve high-quality integration across the vehicle portfolio.
  • Translate complex technical trade-offs into data-driven decisions for platform-level architecture.

What we're looking for

  • Bachelor’s degree or higher in Computational Science, Engineering, Mathematics, Physics, Computer Science, or related fields.
  • 8+ years of engineering experience in a technical environment with strong analytical capabilities.
  • Experience leading development and application of numerical optimization algorithms such as Gradient Descent, Genetic Algorithms, SQP, or MDO.
  • Proficiency in programming languages including Python (SciPy, NumPy, Pyomo), C++, or MATLAB/Simulink.
  • Experience writing plugins or scripts to interact with commercial engineering software like Ansys, Abaqus, SolidWorks, or OpenFOAM via APIs.
  • Proven leadership experience in vehicle execution and physical packaging using computer-aided drafting software.
  • Expertise in post-crash electrical integrity, assembly sequencing optimization, module flashing, and network design.
  • Ability to communicate complex technical issues clearly to non-experts and senior executives.

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