描述
The Role
Global Virtual Engineering (GVE) at General Motors is looking for a driven individuals to become Battery Cell Electrochemistry Analysis Engineer. This position is a highly technical, interdisciplinary role focused on advancing the future of battery cell design.
The role combines electrochemical modeling, data science, battery design optimization, and cross-functional technical leadership to deliver models and tools that guide electrochemical, thermal, mechanical, electrical, and safety-related design decisions for electric vehicles. This involves characterization & optimization of battery cell performance for vehicle range, charging capability, and battery aging effects.
What You'll Do (Responsibilities):
- Battery Modeling & Simulation
- Develop, maintain, and calibrate physiochemical, electrochemical, thermal, mechanical, and safety models for current and future battery chemistries.
- Use COMSOL, MATLAB/SIMULINK, SABER, Python, and PyBaMM to implement multi-scale and multi-dimensional cell models.
- Collaborate with test teams to enhance test protocols to support model development
- Participate in development of material test methods and provide electrochemical parameter database
- Incorporate cell performance variation, aging mechanisms, and thermal behavior into simulation frameworks
- Document models, assumptions, and intended model usage
- Support electric vehicle execution by releasing models integrated into full vehicle co-sims supporting calibration, diagnostics, battery state estimation, controls development and warranty
- Data Mining & Automation
- Develop methods to gain data insights applying statistics and machine learning to cell performance data
- Improve analysis efficiency by applying variation and statistical methods paired with ML learning
Your Skills & Abilities (Required Qualifications):
- BS in Computer Science, Data Analytics, Statistics, Chemical, Electrical, or Mechanical Engineering Required; Chemical Engineering preferred.
- Strong understanding of modeling processes and tools especially physics based degradation mechanisms and transport phenomena
- 3+ years of experience using data analytics and knowledge of machine learning and predictive methods.
- 3+ years of battery electrochemistry modeling experience
- Proficiency using relevant tools: Python, MATLAB, Power BI, DataBricks, COMSOL, MATLAB/SIMULINK, SABER, and PyBaMM
What Will Give You A Competitive Edge (Preferred Qualifications):
- Advanced degree (MS or greater) in Chemical Engineering, Electrochemical Engineering, Materials Engineering, Mechanical Engineering, or Electrical Engineering with specialization in atomistic simulation or computational materials.
- 5+ years of experience using data analytics and knowledge of machine learning and predictive methods.
- 5+ years of battery electrochemistry modeling experience
- 5+ years of atomistic MD, coarse‑grained MD, and reactive MD simulations
- Solid understanding of thermo-electric technologies and systems design
- Solid understanding and working knowledge of fundamental physics, equations and numerical methods underpinning all software used
- Hands‑on experience with MD simulation engines such as LAMMPS, Materials Studio, AMS, VASP, Gaussian, Quantum ESPRESSO, or equivalent.
- Strong programming experience in Python (NumPy, Pandas, ASE, PyTorch, SciPy), shell scripting, and scientific data analysis.
- Familiarity with force‑field development, parametrization, or benchmarking.
Relocation: This role MAY be eligible for relocation benefits
Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren, Mi three times per week, at minimum [or other frequency dictated by the business]
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.