1

Vlsi Research Jobs (NOW HIRING)

Sr. Principal Software Engineer

Austin, TX · On-site

$124K - $171K/yr

... Modus R&D engineering team, where the role will involve designing, developing, debugging, and supporting Design-for-Test software in the VLSI Design Automation domain. Responsibilities : • ...

Digital Design Engineer I

Austin, TX · Hybrid

$78K - $146K/yr

Apply knowledge of VLSI design principles to support block-level and system-level digital design ... Internship, co-op, research, or project experience related to digital IC design, SoC development ...

Staying updated with the latest advancements in ASIC design flow, VLSI, and CAD development to ... Join a world-class R&D organization at the forefront of IP subsystem innovation. Our ...

next page

Showing results 1-20

Vlsi Research information

See salary details

$11

$46

$82

How much do vlsi research jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for vlsi research in the United States is $46.92, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $60.10 per hour, depending on experience, location, and employer.

What are the typical responsibilities of someone working in VLSI Research?

Professionals in VLSI Research are usually responsible for exploring and developing new semiconductor architectures, designing and simulating integrated circuits, and validating chip functionality through extensive testing. Their daily tasks can include literature reviews, schematic design, running experiments, data analysis, and collaborating closely with fabrication engineers and verification teams. Many roles involve both individual technical work and teamwork in cross-disciplinary research groups. This dynamic environment not only advances technology but also provides opportunities for professional development and innovation.

What are the key skills and qualifications needed to thrive in the Vlsi Research position, and why are they important?

To thrive in VLSI Research, a strong background in electrical engineering, semiconductor physics, and digital/analog circuit design is essential, often supported by an advanced degree (M.S. or Ph.D.) in a relevant field. Proficiency with industry-standard EDA tools (like Cadence, Synopsys, or Mentor Graphics), HDL languages (such as Verilog or VHDL), and knowledge of fabrication processes are typically required. Strong analytical skills, attention to detail, teamwork, and effective communication set top candidates apart. These skills enable researchers to tackle complex hardware challenges, drive innovation, and collaborate effectively within multidisciplinary teams.

What is a VLSI Research job?

A VLSI Research job involves studying and developing Very Large Scale Integration (VLSI) technologies used in semiconductor and chip design. Professionals in this field analyze new circuit architectures, fabrication techniques, and performance improvements for integrated circuits (ICs). They work in academic institutions, semiconductor companies, and R&D labs to advance microelectronics and optimize chip design for efficiency and scalability. The role often requires expertise in digital/analog design, simulation tools, and semiconductor physics.

More about Vlsi Research jobs
What job categories do people searching Vlsi Research jobs look for? The top searched job categories for Vlsi Research jobs are:
Infographic showing various Vlsi Research job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,602 per year, or $46.9 per hour.
Research Scientist, Electronic Design Automation - New College Grad 2026

Research Scientist, Electronic Design Automation - New College Grad 2026

Nvidia

Santa Clara, CA

Full-time

Posted 8 days ago


Job description

NVIDIA Research is searching for a world-class new college grad PhD researcher to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). Deep learning and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future. Widely considered to be one of the technology world's most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you!

What you'll be doing:

  • Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.

  • Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, reinforcement learning, agentic AI systems, as well as GPU-accelerated optimization methods.

  • Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.

  • Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.

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

  • Collaborate with external researchers and a diverse set of internal product teams.

What we need to see:

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

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

  • Publications in top EDA and AI/ML venues

  • Domain & Technical Expertise: Expertise in EDA (e.g., synthesis, physical design, design verification, timing) algorithms combined with publications and project experience applying machine learning/deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems.

  • 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.

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 June 7, 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.

Nvidia logo

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

Year founded

1993