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Google Asic Design Engineer Jobs in Raleigh, NC (NOW HIRING)

Nvidia

ASIC Design Efficiency Engineer

Durham, NC · On-site

We are now looking for an ASIC Design Efficiency Engineer! NVIDIA is seeking extraordinary methodology engineers to design hardware accelerators and processors on our next-generation mobile, embedded ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · On-site

NVIDIA is seeking outstanding ASIC Verification Engineer to verify the world's leading GPUs. This ... As a senior member of our verification team, you'll understand the design & implementation with ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · Hybrid

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real ...

Nvidia

Senior ASIC Power Engineer

Durham, NC · On-site

NVIDIA is seeking extraordinary power engineers to design hardware accelerators and processors on ... Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform ...

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Google Asic Design Engineer information

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$91.4K

$146K

$196.3K

How much do google asic design engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for google asic design engineer in Raleigh, NC is $145,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $175,000.00 per year, depending on experience, location, and employer.

What is the difference between Google Asic Design Engineer vs Google FPGA Design Engineer?

AspectGoogle Asic Design EngineerGoogle FPGA Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering; experience in ASIC designBachelor's/Master's in Electrical Engineering or Computer Engineering; FPGA design experience
Work EnvironmentDesigning custom silicon chips for Google productsDeveloping and testing FPGA prototypes for hardware acceleration
Employer & Industry UsagePrimarily in semiconductor and hardware design teams at GoogleHardware prototyping and acceleration teams at Google

The main difference between a Google Asic Design Engineer and a Google FPGA Design Engineer lies in their focus: ASIC engineers design custom chips for optimized performance, while FPGA engineers develop flexible hardware prototypes using field-programmable gate arrays. Both roles require strong electrical engineering skills but serve different stages of hardware development.

How does a Google ASIC Design Engineer typically collaborate with cross-functional teams during the chip development process?

As a Google ASIC Design Engineer, you will work closely with teams such as architecture, verification, software, and hardware validation to ensure successful chip delivery. Collaboration often involves regular meetings to align on design specifications, resolve integration issues, and discuss performance optimization. Effective communication is essential, as you’ll need to translate requirements from system architects into detailed hardware designs and provide feedback to verification and validation teams. This cross-functional interaction fosters a dynamic work environment and helps ensure the final product meets Google's rigorous standards.

What does a Google ASIC Design Engineer do?

A Google ASIC Design Engineer is responsible for designing and developing custom integrated circuits, known as Application-Specific Integrated Circuits (ASICs), that power Google's data centers, cloud infrastructure, and consumer devices. Their work involves collaborating with cross-functional teams to define requirements, create architecture, perform logic and physical design, and validate the silicon before production. They use advanced design tools and methodologies to ensure high performance, low power consumption, and reliability. Ultimately, their contributions help improve the efficiency and capabilities of Google's hardware products.

What are the key skills and qualifications needed to thrive as a Google ASIC Design Engineer, and why are they important?

To thrive as a Google ASIC Design Engineer, you need a strong background in electrical engineering, digital logic design, and experience with ASIC development, typically backed by a relevant degree. Familiarity with hardware description languages (such as Verilog or VHDL), EDA tools (like Synopsys or Cadence), and an understanding of SoC architectures are essential, and related certifications can be valuable. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills are crucial for designing reliable, high-performance ASICs that meet Google's specifications and project timelines.
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Google Asic Design Engineer jobs near you
ASIC Design Efficiency Engineer

ASIC Design Efficiency Engineer

Nvidia

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are now looking for an ASIC Design Efficiency Engineer! NVIDIA is seeking extraordinary methodology engineers to design hardware accelerators and processors on our next-generation mobile, embedded and datacenter platforms. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. Join our dynamic team today!

What you'll be doing:

  • Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency.

  • Understand the design and implementation, 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 the industries' top performing GPUs.

What we need to see:

  • Bachelors Degree in EE or CE or equivalent experience.

  • 2+ years of experience.

  • Proficiency in SystemVerilog or similar HDL.

  • You have a solid understanding of logic design and computer architecture.

  • Strong interpersonal skills are required along with the 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

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 and autonomous, 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 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.

Applications for this job will be accepted at least until June 6, 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

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