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Application Engineer Vlsi Jobs (NOW HIRING)

Company Description Insilico is an End-to-End specialized VLSI, Embedded Design & Software services ... application notes for Customers on key features, design -Measure, Verify KPI benchmarks for ...

Company Description Insilico is an End-to-End specialized VLSI, Embedded Design & Software services ... application notes for Customers on key features, design -Measure, Verify KPI benchmarks for ...

Your ability to troubleshoot, debug, and offer support to application engineers and users makes you ... Familiarity with EDA tools, VLSI design flows, or semiconductor manufacturing concepts is a plus ...

... VLSI/RTL design and integration, Emulation, Design Verification, Test and Validation, and FW/SW ... in wireless application, you will work closely with the Software Engineering team ensuring the ...

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Application Engineer Vlsi information

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$50.5K

$110.7K

$152K

How much do application engineer vlsi jobs pay per year?

As of Sep 10, 2026, the average yearly pay for application engineer vlsi in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an application engineer VLSI?

Application Engineer VLSI (Very Large Scale Integration) jobs involve supporting the design, development, and implementation of integrated circuits and semiconductor devices. Professionals in this role work closely with customers and internal design teams to optimize VLSI solutions, troubleshoot issues, and ensure that products meet technical requirements. They may also assist with pre-sales technical support, conduct product demonstrations, and provide training on VLSI tools and technologies. This position typically requires a strong background in electrical engineering, semiconductor physics, and hands-on experience with VLSI design tools.

What are the key skills and qualifications needed to thrive as an application engineer VLSI?

To excel as an Application Engineer VLSI, you need solid knowledge of semiconductor physics, digital/analog circuit design, and a degree in electrical or electronics engineering. Expertise with EDA tools (such as Cadence, Synopsys, or Mentor Graphics), and familiarity with hardware description languages like Verilog or VHDL, are typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively with design and verification teams set top performers apart. These competencies are crucial for ensuring robust chip design support, efficient troubleshooting, and successful customer solutions in the fast-evolving VLSI industry.

What are some common challenges faced by application engineers in the VLSI industry, and how can they be addressed?

Application Engineers in the VLSI (Very-Large-Scale Integration) industry often encounter challenges such as rapidly evolving technology, tight project deadlines, and the complexity of integrating hardware and software solutions. Staying updated with the latest design tools and methodologies is essential to address these challenges. Collaborating closely with design, verification, and customer support teams helps ensure that issues are identified early and solutions are effectively implemented. Proactive communication and continuous learning are key strategies for overcoming these obstacles and delivering successful outcomes.

What is the difference between Application Engineer Vlsi vs Application Engineer FPGA?

AspectApplication Engineer VlsiApplication Engineer FPGA
Required CredentialsBachelor's/Master's in Electrical Engineering, VLSI design certificationsBachelor's/Master's in Electrical Engineering, FPGA design certifications
Work EnvironmentSemiconductor companies, chip design firms, EDA tool providersEmbedded systems companies, FPGA manufacturers, electronics firms
Industry UsageDesign and verification of integrated circuits and chipsDevelopment and testing of FPGA-based solutions
Common Search/ComparisonYesYes

Both Application Engineer Vlsi and Application Engineer FPGA roles involve working with electronic design tools and require similar educational backgrounds. VLSI engineers focus on chip design and verification, while FPGA engineers specialize in programmable hardware solutions. The choice depends on whether the work involves integrated circuit design or programmable logic devices.

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

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

Infographic showing various Application Engineer Vlsi job openings in the United States as of September 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

ASIC Design Efficiency Engineer

Santa Clara, CA • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees

Other

Re-posted 5 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Overview

We are looking for an ASIC Design Efficiency Engineer. NVIDIA seeks extraordinary methodology engineers to design hardware accelerators and processors for mobile, embedded and datacenter platforms. This role offers the opportunity to impact product lines ranging from consumer graphics to self-driving cars and artificial intelligence.

Responsibilities
  • Develop innovative HW, GPU and system designs to extend state-of-the-art performance and efficiency.
  • Understand the design and implementation, and develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements.
  • Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets.
  • Collaborate with architects, designers, verification and VLSI teams to craft top-performing GPUs.
Qualifications
  • Bachelors Degree in Electrical Engineering (EE) or Computer Engineering (CE) or equivalent experience.
  • 2+ years of experience.
  • Proficiency in SystemVerilog or similar HDL.
  • Solid understanding of logic design and computer architecture.
  • Strong interpersonal skills and ability to work in a diverse, product-oriented team.
Ways to stand out from the crowd
  • Pipeline processor or deep learning accelerator design/architecture experience.
  • Performance verification, low power or physical (synthesis/VLSI) design experience.
  • Scripting knowledge in Python/Perl.
About NVIDIA

NVIDIA is widely considered one of the technology world’s most desirable employers. We value creativity, autonomy, and the drive to contribute. We welcome applicants who are motivated to join a dynamic, forward-thinking team.

Compensation and Benefits

Your base salary will be determined based on location, experience, and pay of similar roles. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits.

Application Details

Applications for this job will be accepted at least until July 14, 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 is proud to be an equal opportunity employer. We value diversity and do not discriminate in hiring or promotion 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.

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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