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Hardware Vlsi Engineer Jobs (NOW HIRING)

IBM

IBM has openings for Hardware Development Engineers to develop, test and provide customer support ... VLSI Design, Microprocessors, Computer Architecture and Organization, Signal Integrity ...

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Hardware Vlsi Engineer information

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$51K

$146.2K

$196.5K

How much do hardware vlsi engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for hardware vlsi engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

How much do hardware VLSI engineers get paid?

Hardware VLSI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and company size. Senior engineers with specialized skills in ASIC or FPGA design can earn higher salaries, especially in regions with a strong semiconductor industry.

Is hardware VLSI engineer still in demand?

Hardware VLSI engineers are currently in high demand due to the growth of semiconductor technology, consumer electronics, and data centers. Skills in digital design, FPGA, ASIC development, and EDA tools increase employability in this field.

What are popular job titles related to Hardware Vlsi Engineer jobs?

For Hardware Vlsi Engineer jobs, the most frequently searched job titles are:

Infographic showing various Hardware Vlsi Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Research Scientist, AI Accelerator Design and VLSI - New College Grad 2026

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Re-posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA Research is searching for a world-class new college grad PhD researcher to drive groundbreaking research at the intersection of AI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Ideal candidates will have a perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of generative AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.

What you'll be doing:

  • AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.

  • VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, generative AI, and innovative tools and methodologies to automated ASIC and VLSI design tool flows.

  • AI HW/SW Co-Design: Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and digital VLSI circuits.

  • Collaborate on the development of research prototype testchips.

  • Collaborate with AI researchers and hardware team members in research and product teams.

  • Publish and present your original research, speak at conferences and events

What we need to see:

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)

  • VLSI Implementation Skills: Experience in hardware design with proficiency with modern EDA tool flows.

  • Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, SystemVerilog, or CUDA

  • Publications in top circuit, architecture, and/or AI/ML venues

  • Domain & Technical Expertise: PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model HW/SW co-design.

  • Excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills and the ability to work effectively within a research team.

  • Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

What Nvidia employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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