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NVIDIA

Senior ASIC Design Engineer - Agentic AI

NVIDIA is hiring a Senior ASIC Design Engineer - Agentic AI in Santa Clara, United States. It pays $168k-$265k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions RAG and fine tuning among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,600+ other open roles on Level.

AI in this role

ragfine-tuning

NVIDIA is seeking ASIC Design Engineers with experience in agentic AI to help design and implement the world's leading SoC's and GPU's. As part of NVIDIA's "AI for chip design" team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the industry. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer a great opportunity to be at the forefront of innovation.

What you'll be doing:

  • As a member of the GPU Design Methodology team, you will document and deliver design guidelines that will help the ASIC team implement high performance, area and power efficient RTL to achieve design targets and specifications.

  • As part of the AI for Chip Design team, you will develop agentic AI solutions to craft the micro-architecture, implement the RTL, and deliver a fully verified, synthesis/timing clean design.

  • Collaborate and coordinate with other designers as well as tool and flow owners to make sure design guidelines and agentic solutions meet their requirements.

  • Make a difference by using AI technologies to tackle complex problems in chip design, driving innovation and meaningful impact across the industry.

  • Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.

  • Stay ahead by engaging with the latest advancements in machine learning and AI to create powerful solutions.

What we need to see:

  • Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related field (or equivalent experience).

  • 8+ years of meaningful work experience.

  • Experience in micro-architecture and RTL development (Verilog) in complex designs.

  • Deep understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.

  • Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic is required.

  • Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.

  • Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.

  • Strong analytical, communication, and interpersonal skills, with a proven track record to thrive in dynamic, product-focused, and distributed teams.

  • A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. We inspire our engineers to build solutions for the problems faced by our customers. Are you creative? Do you love the challenge of continuously crafting the fastest, most efficient GPUs while driving innovation across multiple fields? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior ASIC Design Engineer - Agentic AI at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGFine-tuning

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: RAG and Fine-tuning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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