Role: Ai Hardware Design Engineer
Location: Santa Clara, CA
Mode of Work: 5 days Onsite
Required Skills & Qualifications
- Education: Master s or Ph.D. in Computer Science, Computational/Electrical Engineering, AI/ML, or related field.
- Technical Expertise:
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
- Experience with generative AI (LLMs, diffusion models, graph-based models).
- Knowledge of computational materials methods (DFT, MD, phase-field modeling).
- Additional Skills:
- Familiarity with MLOps, HPC environments, and cloud deployment.
- Proven experience (code repos, publications) bridging simulation software, hardware design, and ML.