No closing date
ERS ML Design Optimization Engineer
- Concord, United States
- Posted
- Power unit
- Mid level
Apply on GM Performance Power Units' site
Read the full advert and apply on GM Performance Power Units' site.
Summary
AI-generated summary. Check the full advert on the team's site.
- Build neural network surrogates and ML optimization loops to speed up ERS (MGU-K, CU-K, ES) design and simulation.
- Process large bench, dyno, track and DiL/HiL/SiL datasets; validate models against real duty cycles and FIA limits.
- Needs 3+ years with neural surrogates, PyTorch/TensorFlow/JAX and GA/BO optimization; hybrid powertrain familiarity.
From the advert
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…
Read the full advert and apply on GM Performance Power Units' site
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