Senior AI Solutions Architect - Semiconductors

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. This role is part of the team focused on leveraging AI to embed accelerated computing in semiconductor design, verification, lithography, and manufacturing workflows.

• Support Business Development and Sales teams as part of a small Solutions Architecture team, partnering with industry 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 (e.g., NVIDIA cu Litho).
• Apply ML/DL to semiconductor manufacturing: defect detection, inspection and metrology, yield optimization, and process control.
• Analyze EDA and manufacturing application architectures and identify opportunities for acceleration.
• Provide feedback and collaborate with engineering, product, and research teams.
• Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

• MS/PhD in Electrical or Computer Engineering, Materials Science, Applied Physics, Computational Science, or a related technical field (or equivalent experience).
• 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 (e.g., Cadence, Synopsys, Siemens EDA) and/or computational lithography, TCAD, or inspection/metrology systems.
• Experience in algorithm programming using Python and C/C++, with familiarity GPU‑accelerating compute‑intensive workloads.
• Development experience using major AI frameworks (e.g., PyTorch, Tensor Flow) for vision, ML, or manufacturing use cases.
• Familiarity with accelerated computing platforms, GPU‑based distributed systems, and HPC clusters.
• Familiarity with containers, numerical libraries, modular software design, version control, Git Hub.
• Experience designing, prototyping, and building complex AI/ML‑based solutions for customers; able to reason across components such as data pipelines, models, compute, networking, and orchestration.
• Solid written and oral communication skills and familiarity with collaborative environments.
• Team player who can learn, react, and adapt quickly, with an attitude to work in a fast‑paced environment.

• Experience with computational lithography (NVIDIA cu Litho) 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.

Base salary range for Level3 is $152,000–$241,500

USD and for Level4 is $184,000–$287,500

USD, plus equity and benefits. Salary will be determined based on location, experience, and market.

Applications are accepted until June
30,2026.

NVIDIA is committed to fostering an inclusive work environment and warrants equal opportunity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.