Senior ASIC Design Engineer - Agentic AI

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 168,000 - 310,500; Full time

Job summary

NVIDIA Gruppe in Santa Clara is seeking experienced ASIC Design Engineers to design and implement advanced SoCs and GPUs. The ideal candidate will have a Master's or PhD in Electrical Engineering or Computer Science, with over 8 years of related experience.

This role involves collaborating within dynamic teams, documenting design guidelines, and utilizing AI technologies to innovate in chip design. Competitive compensation includes a salary between $168,000 - $310,500 depending on level and experience, along with equity and benefits.

Qualifications

• 8+ years of meaningful work experience.
• Experience in micro-architecture and RTL development.
• Exposure to Digital systems and VLSI design.

Responsibilities

• Document and deliver design guidelines for high performance RTL.
• Develop agentic AI solutions for micro-architecture.
• Collaborate with designers and tool owners for design requirements.

Skills

Micro-architecture and RTL development (Verilog)

Deep understanding of ASIC design flow

Proficiency in rapid prototyping using Python

Experience in fine-tuning large language models

Strong analytical and communication skills

Education

Master’s or PhD in Electrical Engineering or Computer Science

Job description

NVIDIA is seeking ASIC Design Engineers with experience in agentic AI to help design and implement the world’s leading SoCs and GPUs.

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.
• 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.

Compensation and Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $168,000 USD - $264,500 USD for Level4, and $196,000 USD - $310,500 USD for Level5. You will also be eligible for equity and benefits.

Equal Employment Opportunity

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. 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.