Senior Engineer / Lead Engineer – Virtual Engineering- AI CFD
Job Description
General Motors is seeking a Senior/Lead Engineer for their Virtual Engineering AI CFD team in Bengaluru. This role sits at the intersection of artificial intelligence and computational fluid dynamics, focusing on developing innovative AI solutions for automotive engineering challenges. The position requires expertise in both traditional CFD and modern AI/ML techniques, with responsibilities spanning from model development to production deployment.
The ideal candidate will drive AI innovation in the CFD domain, working on cutting-edge projects that involve automating complex engineering processes and developing predictive solutions. They will be responsible for building and deploying AI models that optimize thermal and fluid systems, while ensuring robust data security and measurable business impact.
This role offers an opportunity to work with a global leader in the automotive industry that is committed to achieving Zero Crashes, Zero Emissions, and Zero Congestion. The position combines traditional engineering expertise with modern AI applications, making it ideal for someone who wants to shape the future of automotive engineering through innovative AI solutions.
The hybrid work arrangement requires office presence three times per week, and the role demands a unique blend of technical expertise in both engineering and AI domains. The successful candidate will work with cross-functional teams, translate complex technical concepts for non-technical stakeholders, and stay current with advances in neural networks and physics-informed learning techniques.
Note: This position does not provide immigration-related sponsorship.
Responsibilities For Senior Engineer / Lead Engineer – Virtual Engineering- AI CFD
- Drive AI innovation in CFD domain
- Collaborate with stakeholders to understand business challenges in the CFD space
- Collect, clean, annotate, and prepare datasets for text analysis and image comparison tasks
- Design, develop, and fine-tune AI/ML models for automating mesh generation and CFD processes
- Build optimization pipelines for thermal and fluid systems using AI-assisted approaches
- Deploy AI models into production environments
- Establish monitoring and maintenance processes
- Document workflows, results, and lessons learned
Requirements For Senior Engineer / Lead Engineer – Virtual Engineering- AI CFD
- Bachelor's or Masters Degree in Mechanical/Automobile/Production/Mechatronics Engineering or similar
- 5+ years experience in CFD at Automotive Product Development / Manufacturing Engineering
- 2+ years experience in implementing AI solutions in CFD
- Strong programming skills in Python and C++
- Experience with ML frameworks like Pytorch, TensorFlow
- Knowledge of surrogate modeling and reduced-order modeling
- Experience in data handling and feature engineering
- Understanding of data annotation tools and MLOps workflows
- Experience in domain-specific AI use cases
