Senior AI Solutions Architect - Semiconductors

Position Overview

The Senior Solutions Architect will support our Semiconductor accounts—including chip‑design houses, EDA software vendors, semiconductor‑equipment makers, and fabs—that are adopting accelerated computing across chip design, verification, lithography, and manufacturing. In this role you will be a trusted technical advisor to EDA/CAD developers and customer engineering teams, embedding NVIDIA accelerated computing, computational lithography (cu Litho), and AI into design, verification, and manufacturing workflows.

• 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—as well as computational lithography (e.g., NVIDIA cu Litho).
• Apply ML/DL techniques 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 or 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—including 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 languages such as Python and C/C++, with familiarity of 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, and Git Hub.
• Experience designing, prototyping, and building complex AI/ML‑based solutions for customers; ability 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000

USD–241,500

USD for Level3, and 184,000

USD–287,500

USD for Level
4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June
30,2026.

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. 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.