Senior AI Solutions Architect - Semiconductors

NVIDIA • Us, CA

6d

About The Position

NVIDIA is seeking a Senior Solutions Architect to support its Semiconductor accounts, which include chip-design houses, EDA software vendors, semiconductor-equipment makers, and fabs. The role involves acting as a trusted technical advisor to EDA/CAD developers and customer engineering teams, integrating NVIDIA's accelerated computing, computational lithography (cuLitho), and AI technologies into their design, verification, and manufacturing workflows. The goal is to enhance application performance, speed up design and yield cycles, and establish the technical groundwork for future semiconductor systems. This position is crucial for driving the adoption of AI and accelerated computing within the semiconductor industry.

Requirements

• MS/PhD in Electrical or Computer Engineering, Materials Science, Applied Physics, Computational Science, or a related technical field (or equivalent experience).
• 4+ years of experience 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 languages like Python and C/C++, with proficiency in GPU-accelerating compute-intensive workloads.
• Development experience using major AI frameworks (e.g., PyTorch, TensorFlow) 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 GitHub.
• Experience designing, prototyping, and building complex AI/ML-based solutions for customers, with the ability to reason across components like data pipelines, models, compute, networking, and orchestration.
• Solid written and oral communication skills and experience in collaborative environments.
• Ability to learn, react, and adapt quickly in a fast-paced environment, demonstrating a team-player attitude.

Nice To Haves

• Experience with computational lithography (NVIDIA cuLitho) 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.

Responsibilities

• Support Business Development and Sales teams as part of a Solutions Architecture team, collaborating with Industry Business leads, Account Managers, and Developer Relations managers to ensure ecosystem success within Semiconductor accounts (EDA vendors, chip designers, semiconductor-equipment OEMs, and fabs).
• Engage directly with EDA/CAD developers and customer design and manufacturing teams in a customer-facing capacity.
• Assist developers in GPU-accelerating and scaling EDA workflows, including place-and-route, circuit simulation, timing and power analysis, DRC/LVS, and verification, as well as computational lithography (e.g., NVIDIA cuLitho).
• Apply Machine Learning/Deep Learning to semiconductor manufacturing processes such as defect detection, inspection and metrology, yield optimization, and process control.
• Analyze the architecture of EDA and manufacturing applications to identify opportunities for performance acceleration.
• Provide feedback and collaborate with NVIDIA's engineering, product, and research teams.
• Conduct trainings, hackathons, and technical demonstrations showcasing NVIDIA solutions and platforms.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior