Senior AI Solutions Architect - Semiconductors

About the role

NVIDIA is seeking a Senior Solutions Architect to support Semiconductor accounts. This role involves working closely with EDA/CAD developers and customer engineering teams to integrate NVIDIA's accelerated computing technologies, including cuLitho, into design, verification, and manufacturing workflows.

Responsibilities

• Support Business Development and Sales teams in driving ecosystem success across Semiconductor accounts.
• Partner with industry business leads, account managers, and developer relations managers to enhance collaboration and adoption of NVIDIA solutions.
• Work directly with EDA/CAD developers and customer design and manufacturing teams to GPU-accelerate and scale EDA workflows.
• Apply machine learning and deep learning techniques to semiconductor manufacturing challenges such as defect detection, inspection, metrology, yield optimization, and process control.
• Collaborate with engineering, product, and research teams to 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 (or equivalent experience).
• 4+ years of experience 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 like Python and C/C++, with familiarity in GPU-accelerating compute-intensive workloads.
• Experience developing applications 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.
• Experience with containers, numerical libraries, modular software design, version control, and GitHub.
• Experience designing, prototyping, and building complex AI/ML-based solutions for customers, reasoning across components such as data pipelines, models, compute, networking, and orchestration.

Qualifications

• Strong written and oral communication skills and familiarity with collaborative environments.
• Ability to learn, react, and adapt quickly in a fast-paced environment.

Skills

• 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.

Benefits

NVIDIA offers competitive compensation packages, including base salaries ranging from $152,000 to $241,500 for Level 3 and $184,000 to $287,500 for Level 4, depending on location, experience, and market conditions. Additional benefits include equity, health insurance, retirement plans, and professional development opportunities.

Pay

$152,000 - $241,500 for Level 3
$184,000 - $287,500 for Level 4

Schedule

Full-time