Skip to content

Open nowPosted 180 days ago

ERS ML Design Optimization Engineer

gmppu63 open roles

Where
Concord, NC, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowERS ML Design Optimization Engineergmppu · Concord, NC, USA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on gmppu's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 180 days ago

The posting

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. Develop ML-accelerated workflows integrated with NX/AVL/MATLAB/ANSYS sim chains. Validate models against real duty cycles; iterate for FIA-constrained optima. Document optimization pipelines, neural architectures, and results for design reviews.

  Required Qualifications

Bachelor's in CS/EE/Math/Physics; Master's/PhD in ML/scientific computing preferred. 3+ years building neural surrogates for engineering sims; GA/BO optimization experience. Expert in PyTorch/TensorFlow/JAX; large-scale time-series/physics data pipelines. Proficiency handling multi-fidelity datasets (real + DiL/HiL/SiL). Familiarity with hybrid powertrains, multi-physics sim tools.

  Preferred Qualifications

F1 ERS plant modeling (cell/MGU/ES performance prediction). Neural operators/PINNs for PDE surrogates; multi-fidelity BO. HPC workflows, data versioning (DVC), containerization. Domain expertise in e-motors, batteries, power electronics.

  Personal Attributes

Delivers under aggressive development timelines. Innovates across model/design/compute trade-offs. Communicates complex ML insights to design engineers. Rigorous validator of sim fidelity against reality. Passionate about F1 performance engineering.

  Ready to be part of a team that pushes boundaries both on and off the track? At GM Performance Power Units, we are developing a new era of performance for the Formula 1 grid. Joining us means entering a startup racing environment backed by a legacy of engineering excellence, giving you the rare opportunity to help build a world-class program from day one. We believe in rewarding innovation and powering potential. As part of our team, you’ll benefit from a competitive and comprehensive package designed to support your performance, well-being, and future, helping you thrive at every level.   That includes access to:  

Bonus scheme Private healthcare 401(k) plan including company match Employer-paid life insurance and disability coverage 32 days annual leave (including holidays) Free financial advisor access Employee Assistance Programs (EAP) Subsidized on-site dining On-site gym Discounted GM vehicle purchase/lease program Free on-site EV charging for personal GM vehicles

  It’s all part of our commitment to creating a workplace that’s as high-performing and forward-thinking as the people who make it succeed.   Join us and help power what’s next.   Why Join Us You’ll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance. Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf. Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time. 

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against gmppu's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on gmppu's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    gmppu's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.