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Forward Edge Asic Jobs (NOW HIRING)

Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives ... We have some of the most forward-thinking and hardworking people in the world working for us. Are ...

Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives ... We have some of the most forward-thinking and hardworking people in the world working for us. Are ...

Senior Firmware Security Engineer

Austin, TX · On-site +1

$118K - $156K/yr

We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed ... We are a fast-growing, forward-thinking team ofarchitects, engineers, and business professionals ...

You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that ... Please do not forward resumes to our jobs alias, Google employees, or any other organization ...

... ASIC design verification team in a dynamic and forward-thinking organization focused on next ... Advance your career with cutting-edge verification techniques including coverage-driven ...

We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed ... We are a fast-growing, forward-thinking team of architects, engineers, and business professionals ...

Contribute to Cutting-Edge Projects: Play a pivotal role in the success of our innovative projects ... We have some of the most forward-thinking and hardworking people in the world working for us. If ...

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Forward Edge Asic information

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How much do forward edge asic jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for forward edge asic in the United States is $30.54, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $32.45 per hour, depending on experience, location, and employer.

What is the difference between Forward Edge Asic vs FPGA Designer?

AspectForward Edge AsicFPGA Designer
Required CredentialsElectrical engineering degree, ASIC design certificationsElectrical engineering degree, FPGA design certifications
Work EnvironmentSemiconductor companies, hardware development labsElectronics firms, prototyping labs
Industry UsageHigh-volume chip manufacturing, custom ASICsPrototyping, flexible hardware solutions

Forward Edge ASIC and FPGA Designer roles both require electrical engineering expertise and knowledge of digital design. While ASIC designers focus on developing custom chips for mass production, FPGA designers work on flexible, reprogrammable hardware solutions. The roles often overlap in skills but differ in application and project scope.

What are the key skills and qualifications needed to thrive as a Forward Edge ASIC engineer?

To thrive as a Forward Edge ASIC Engineer, you need a solid background in electrical engineering, digital design, and ASIC development, usually supported by a relevant degree. Proficiency with hardware description languages (like Verilog or VHDL), EDA tools (such as Synopsys or Cadence), and simulation software is essential. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These abilities are crucial for designing, verifying, and delivering high-performance ASIC solutions in competitive technology environments.

What are some common challenges faced by Forward Edge ASIC engineers and how can they be addressed?

Forward Edge ASIC engineers often encounter challenges such as meeting aggressive project deadlines, managing complex design specifications, and ensuring optimal performance while minimizing power and area. Collaborating closely with cross-functional teams—like verification, software, and system architects—is essential to address these challenges and avoid costly design iterations. Effective communication, utilizing advanced EDA tools, and continuous learning about the latest semiconductor technologies can help engineers successfully navigate these obstacles and deliver high-quality ASIC solutions.

What is a Forward Edge ASIC?

Forward Edge ASICs are specialized integrated circuits designed to perform specific tasks at the edge of a network, closer to the data source rather than in centralized data centers. These ASICs are optimized for high performance, low power consumption, and real-time data processing, making them ideal for applications like IoT devices, edge computing, and smart sensors. By processing data locally, Forward Edge ASICs help reduce latency, improve security, and minimize bandwidth usage. They are increasingly used in industries such as telecommunications, automotive, and industrial automation.
More about Forward Edge Asic jobs
What job categories do people searching Forward Edge Asic jobs look for? The top searched job categories for Forward Edge Asic jobs are:
Infographic showing various Forward Edge Asic job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 29% As Needed, 68% Full Time, and 2% Contract. Highlights an 85% Physical, 9% Hybrid, and 6% Remote job distribution, with an average salary of $63,513 per year, or $30.5 per hour.

Senior ASIC Design Engineer - GPU

Nvidia Corporation

Durham, NC • On-site

Full-time

Posted 15 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

We are now looking for a Senior ASIC Engineer! NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world's top SoCs and GPUs. This position provides an opportunity to influence a dynamic technology company's products, from consumer graphics to autonomous vehicles. Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives innovation in modern computing. Our team of remarkable professionals works worldwide, aiming to push the boundaries of today's possibilities and shape the future computing platform.
As a member of the MMU team, you will contribute to the development and implementation of a state-of-the-art memory management system with complex build requirements. Our approach delivers the performance required by autonomous vehicles, photo-realistic games and applications, as well as the world's leading supercomputers!
What you'll be doing:
  • As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies.
  • Contribute to architecture decisions.
  • Mentor other engineers on the team.
  • Collaborate with architects, designers, and software engineers across sites to accomplish your goals.

What we need to see:
  • Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
  • 5+ years of relevant work or research experience.
  • Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies.
  • Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Synopsys).
  • A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog.
  • Strong communication skills are required.

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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 26, 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.

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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

Year founded

1993