Senior AI Application Developer, GPU and SOC Architecture Modeling

Nvidia

Quick summary

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

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k

This role $197k

$139k most similar roles pay here $271k

This role pays less than 56% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $206k 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 942 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 931 roles with salary data.

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At a glance

TL;DR · Senior AI Application Developer, GPU and SOC Architecture Modeling

Role Posting Log in to save

Join NVIDIA’s Architecture Modeling group as an Architect or Software Engineer, where you will work alongside top-tier architects to develop scalable GenAI applications that integrate seamlessly with existing workflows. Your daily tasks include deploying AI tools to accelerate GPU and SOC architecture modeling, collaborating with hardware architects to customize AI solutions for specific problem domains, and working with infrastructure engineers to enhance automated workflows using LLMs. You’ll also research emerging technologies to continuously improve the development ecosystem. Ideal candidates have a BS or higher in Computer Science, Electrical Engineering, or related fields, along with 5+ years of experience, proficiency in C++, Python, and ML frameworks like LangChain and Claude Agent SDK, hands-on experience with LLMs such as GPT and Claude, and strong collaboration and problem-solving skills.

Skills

Python C++ LangChain LangSmith Claude Agent SDK Nemo Agent Toolkit GPT LLMs multimodal models CI/CD

What you'll do

Develop scalable GenAI applications that integrate with existing workflows.
Accelerate GPU/SOC architecture modeling using advanced AI tools and techniques.
Customize AI-based solutions for hardware architects' specific problem domains.
Improve automated workflows by incorporating LLMs and establishing best practices.
Research emerging AI technologies to evolve the development ecosystem continuously.

What we're looking for

BS, MS, PhD or equivalent experience in relevant fields with 5+ years in related areas.
Proficiency in C++, Python, and ML frameworks like LangChain, LangSmith, Claude Agent SDK.
Hands-on experience with LLMs such as GPT, Claude, Llama, and multimodal models.
Background in Computer Architecture with modeling experience preferred.
Strong collaboration skills for working with design and engineering teams.
Excellent problem-solving and debugging skills with a track record of issue resolution.

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