설명
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement :This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
The Role
Senior Engineer / Lead Engineer – AI CAE will Drive AI innovation in CAE analysis. Execute end-to-end projects from idea to deployment, applying Reduced order modelling (ROM), Simulation data driven ML, DoE techniques to solve Manufacturing problems while ensuring data security and delivering measurable impact. Define and deploy process and methods for AI in CAE
What You'll Do
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Collaborate with stakeholders to understand business problems in the CAE domain and translate them into AI solutions.
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Design, develop, and fine-tune AI/ML models for:
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Simulation result prediction and design optimization
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Automating repetitive CAE tasks (meshing, boundary conditions, post-processing).
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Evaluate, validate, and benchmark model performance using appropriate metrics.
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Deploy AI models into production environments in collaboration with IT/AI teams.
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Establish monitoring and maintenance processes to ensure model accuracy over time.
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Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.
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Document workflows, results, and lessons learned for organisational knowledge sharing.
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Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques.
Your Skills and Abilities (Required Qualifications)
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Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.
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5+ years experience in CAE at Automotive Product Development / Manufacturing Engineering.
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3+ years' experience in implementing AI solutions in CAE
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Should have executed at least 5+ years of Core CAE domain (from problem definition to deployment) experience.
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Strong programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation.
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Experience with ML frameworks like Pytorch, TensorFlow.
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Understanding of data annotation tools and MLOps workflows.
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Experience in data handling and feature engineering.
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Strong problem-solving and analytical mindset.
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Experience in domain-specific AI use cases (manufacturing, automotive, etc.).
What Will Give You A Competitive Edge (Preferred Qualifications)
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Knowledge of multi-physics simulations (Structural + thermal + fluid).
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Familiarity with Bayesian optimization and DOE
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Exposure to ML Ops practices for model deployment and monitoring.
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Strong problem-solving mindset and curiosity for AI innovation.
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Ability to translate domain problems into AI solutions.
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Collaboration skills to work with cross-functional teams.
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Clear communication of technical concepts to non-technical stakeholders.
NOTE: This is a 3-year special assignment in enabling AI across Manufacturing workflows.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.