Senior AI Solutions Architect, Semiconductors

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
7 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $197k
$139k most similar roles pay here $274k

This role pays less than 66% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $197k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 928 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior AI Solutions Architect, Semiconductors

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The Senior Solutions Architect role within NVIDIA’s Semiconductor team involves serving as a technical advisor to EDA/CAD developers and customer engineering teams, embedding accelerated computing, computational lithography (cuLitho), and AI into semiconductor design, verification, and manufacturing workflows. This position requires collaborating with Business Development and Sales teams to drive ecosystem success across chip-design houses, EDA software vendors, equipment makers, and fabs. Key responsibilities include accelerating EDA workflows using GPU technology, applying ML/DL to semiconductor manufacturing processes, analyzing application architectures for acceleration opportunities, and delivering technical training and demonstrations. The ideal candidate holds an MS/PhD in a relevant field with extensive experience in semiconductor design or manufacturing, proficiency in Python/C++, familiarity with AI frameworks like PyTorch and TensorFlow, and expertise in GPU-accelerated computing platforms such as CUDA and Kubernetes.

Skills

Python C/C++ PyTorch TensorFlow CUDA cuLitho Kubernetes GitHub NVIDIA GPUs HPC clusters Docker Prometheus Grafana Cadence Synopsys Siemens EDA PCIe accelerators FPGAs DSPs

What you'll do

  • Support Business Development teams by embedding NVIDIA technologies into semiconductor workflows.
  • Work directly with EDA/CAD developers to GPU-accelerate design and verification processes.
  • Apply machine learning techniques to improve defect detection and yield optimization in manufacturing.
  • Analyze application architectures to identify opportunities for performance acceleration using GPUs.
  • Deliver technical training sessions on NVIDIA solutions and platforms for customer teams.

What we're looking for

  • MS/PhD in Electrical or Computer Engineering, Materials Science, Applied Physics, Computational Science, or related field (or equivalent experience).
  • 4+ years in semiconductor design, EDA, or manufacturing with AI/ML application experience.
  • Familiarity with EDA flows and tools like Cadence, Synopsys, Siemens EDA, computational lithography, TCAD, inspection/metrology systems.
  • Experience programming algorithms using Python/C/C++ for GPU-accelerated compute-intensive workloads.
  • Development experience with major AI frameworks (PyTorch, TensorFlow) for manufacturing use cases.
  • Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters.

Related searches

More Senior AI Solutions Architect jobs Senior AI Solutions Architect jobs in Santa Clara Remote Senior AI Solutions Architect jobs All jobs at Nvidia

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