ERS ML Design Optimization Engineer

GM Performance Power Units - Concord, NC

ERS ML Design Optimization Engineer - Onsite

Job Summary

GM Performance Power Units (GM PPU) seeks an ERS ML Design Optimization Engineer to join our team in Concord, NC. This role leverages ML for design optimization, simulation acceleration, and performance analysis of ERS systems (MGU-K, CU-K, ES) using telemetry and physics-based data. Focus on surrogate models to reduce sim cycles while meeting FIA constraints.

Key Responsibilities:

• Build neural network surrogates (e.g., PINNs, graph nets) emulating ERS physics across thermal, electrical, degradation behaviors.

• Implement tool-agnostic GA/BO optimization loops for multi-objective ERS design (mass/power/reliability).

• Fuse/process petabyte-scale datasets from bench/dyno/track + DiL/HiL/SiL sims for training/validation.

• Conduct sensitivity analysis, uncertainty quantification on ERS parameter spaces....

Ready to Apply?

Submit your application today and join our talented team at GM Performance Power Units.