Senior AI Solutions Architect - Semiconductors

NVIDIA is seeking a Senior Solutions Architect to support Semiconductor accounts, including chip-design houses, EDA software vendors, semiconductor-equipment makers, and fabs adopting accelerated computing across chip design, verification, lithography, and manufacturing.

The successful candidate will serve as a trusted technical advisor to EDA/CAD developers and customer engineering teams, embedding NVIDIA accelerated computing, computational lithography (cuLitho), and AI into design, verification, and manufacturing workflows.

Key Responsibilities:

• Support Business Development and Sales teams as part of a small Solutions Architecture team, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive ecosystem success across Semiconductor accounts.
• Work directly with EDA/CAD developers and customer design and manufacturing teams in a customer-facing setting.
• Help developers GPU-accelerate and scale EDA workflows , place-and-route, circuit simulation, timing and power analysis, DRC/LVS, and verification , and computational lithography.
• Apply ML/DL to semiconductor manufacturing: defect detection, inspection and metrology, yield optimization, and process control.
• Analyze EDA and manufacturing application architectures and find opportunities for acceleration.
• Provide feedback and collaborate with engineering, product, and research teams.
• Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

Requirements:

• MS/PhD in Electrical or Computer Engineering, Materials Science, Applied Physics, Computational Science, or a related technical field.
• 4+ years in semiconductor design, EDA, or semiconductor manufacturing , chip design/verification, TCAD, lithography, or fab process/yield engineering , and/or AI/ML applied to these domains.
• Familiarity with EDA flows and tools and/or computational lithography, TCAD, or inspection/metrology systems.
• Experience in algorithm programming using languages like Python and C/C++.
• Development experience using major AI frameworks for vision, ML, or manufacturing use cases.
• Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters.
• Experience designing, prototyping, and building complex AI/ML-based solutions for customers.
• Solid written and oral communication skills and familiarity with collaborative environments.

Preferred Qualifications:

• Experience with computational lithography or GPU-accelerated EDA flows.
• Experience applying ML/DL to defect inspection, metrology, or yield and process optimization in a fab or equipment setting.
• Development experience with NVIDIA software libraries and GPUs, including CUDA and CUDA-X libraries.
• Experience with Kubernetes, distributed training, and large-scale inference.
• Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.

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