Senior AI Solutions Architect

Job Summary

Supporting Semiconductor accounts, the full-time Senior AI Solutions Architect will serve as a trusted technical advisor to EDA/CAD developers and customer engineering teams, embedding NVIDIA accelerated computing and AI into design and manufacturing workflows while working remotely or onsite.

Key responsibilities

• Collaborate with Business Development and Sales teams to drive ecosystem success across Semiconductor accounts
• Engage directly with EDA/CAD developers and customer design teams to enhance application performance and accelerate design cycles
• Deliver training, hackathons, and technical demonstrations on NVIDIA solutions and platforms

Required qualifications

• MS/PhD in Electrical or Computer Engineering, Materials Science, Applied Physics, Computational Science, or a related field
• 4+ years of experience in semiconductor design, EDA, or semiconductor manufacturing with a focus on AI/ML applications
• Familiarity with EDA tools (e.g., Cadence, Synopsys) and computational lithography
• Experience in algorithm programming using Python and C/C++, with knowledge of GPU-accelerating workloads
• Development experience using major AI frameworks (e.g., PyTorch, TensorFlow) for manufacturing use cases