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1d ago

Applied AI Engineer

NVIDIA San Francisco, CA

San Francisco, CA

1d ago

$152k - $288k/yr Full time Agentic Ai AI Ai Agent

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Job Description

NVIDIA’s Silicon Co-Design Group is seeking an Applied AI Engineer to design and implement LLM-powered validation approaches and AI integrations across semiconductor design and automation workflows. The work centers on advancing post-silicon and validation processes from early concept stages through production deployment.

Responsibilities

Design and deploy AI systems that improve the speed, intelligence, and scalability of post-silicon validation across semiconductor environments.
Partner with multi-functional engineering teams across the organization to identify where AI can remove bottlenecks, and then build and deliver the solutions.
Assess emerging AI frameworks and architectures early, before they become widely adopted across the industry.
Build the data systems needed to validate outcomes, define quantitative measures of AI impact, close performance gaps, and support iterative improvement across the organization.

Requirements

BS, MS, or PhD, or equivalent experience in CS, EE, CE, or a related field, plus 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end, from prototype through production deployment.
Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and an understanding of firmware/driver structures and hardware interaction.
Hands-on experience in production test, system validation, post-silicon bring-up, reliability, silicon debug, or silicon productization, including ATE, SLT, board-level test, validation, or yield analysis.
Experience in a silicon development environment, including exposure to chip and system characterization methodologies, and familiarity with manufacturing and quality metrics such as yield, FPY, DPPM, RAS, TTR, and escape rate.
Demonstrated ability to balance multiple concurrent projects, with strong problem-solving, communication, and teamwork skills.

Technology Stack

Python; C; C++; C#; Java; Scala
PyTorch; TensorFlow
NeMo Agent Toolkit; LangChain; Semantic Kernel
AutoGen; CrewAI; n8n

Compensation and Location

This role is based in California (hybrid) and offers an estimated USD 152,000 - 287,500 per year.

Benefits

Eligibility for equity and benefits.
Competitive salary.
Generous benefits package.

How You Can Stand Out

Experience with GPU, CPU, AI accelerator, networking, automotive, or other large-scale SoC programs.
Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
Experience building and deploying orchestration agents that manage hundreds to thousands of tools.
Ability to translate AI research into practical, high-impact production tools.
Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, including agentic and orchestration tools such as NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.

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