Senior Engineer

Job Description

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 three times per week or other frequency dictated by the business.

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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

• Collaborate with stakeholders to understand business problems in the CAE domain and translate them into AI solutions.

• Design, develop, and fine-tune AI/ML models for:

• Simulation result prediction and design optimization

• Automating repetitive CAE tasks (meshing, boundary conditions, post-processing).

• Evaluate, validate, and benchmark model performance using appropriate metrics.

• Deploy AI models into production environments in collaboration with IT/AI teams.

• Establish monitoring and maintenance processes to ensure model accuracy over time.

• Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.

• Document workflows, results, and lessons learned for organisational knowledge sharing.

• Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques.

Your Skills and Abilities (Required Qualifications)

• Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.

• 5+ years experience in CAE at Automotive Product Development / Manufacturing Engineering.

• 3+ years' experience in implementing AI solutions in CAE

• Should have executed at least 5+ years of Core CAE domain (from problem definition to deployment) experience.

• Strong programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation.

• Experience with ML frameworks like Pytorch, TensorFlow.

• Understanding of data annotation tools and MLOps workflows.

• Experience in data handling and feature engineering.

• Strong problem-solving and analytical mindset.

• Experience in domain-specific AI use cases (manufacturing, automotive, etc.).

What Will Give You A Competitive Edge (Preferred Qualifications)

• Knowledge of multi-physics simulations (Structural + thermal + fluid).

• Familiarity with Bayesian optimization and DOE

• Exposure to ML Ops practices for model deployment and monitoring.

• Strong problem-solving mindset and curiosity for AI innovation.

• Ability to translate domain problems into AI solutions.

• Collaboration skills to work with cross-functional teams.

• Clear communication of technical concepts to non-technical stakeholders.

NOTE: This is a 3-year special assignment in enabling AI across Manufacturing workflows.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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