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Forward Edge Asic Jobs (NOW HIRING)

Nvidia

Senior ASIC Timing Engineer

Santa Clara, CA · Hybrid

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 ...

Cisco

ASIC DFT Technical Lead

San Jose, CA · On-site

$210K - $305K/yr

As a member of this team you will be involved in crafting cutting edge next generation networking ... time carried forward from one calendar year to the next * Additional paid time away may be ...

Silicon Labs

Digital Verification Engineer I

Austin, TX · On-site

$84K - $156K/yr

Merging cutting-edge technology into the world's most highly integrated SoCs, Silicon Labs provides ... Contribute to the verification of ASIC IP blocks used in wireless modem designs for IoT ...

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How much do forward edge asic jobs pay per hour?

As of Jun 16, 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, and why are they important?

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 are Forward Edge ASICs?

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.
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Forward Edge Asic jobs near you
Senior ASIC Timing Engineer

Senior ASIC Timing Engineer

Nvidia

Santa Clara, CA • Hybrid

Full-time

Posted 3 days ago

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

What you'll be doing:

  • Drive Timing Analysis and Closure: Lead the timing analysis and closure processes for NVIDIA's GPUs, CPUs, LPUs, and SoCs at block level, cluster level, and full chip level.

  • Collaborate with Cross-Functional Teams: Work closely with RTL, DFX, Clocks, and other teams to devise timing closure strategies, create timing constraints, and drive timing and power convergence as well as implement ECOs.

  • Contribute to Cutting-Edge Projects: Play a pivotal role in the success of our innovative projects and advancement of our technology. Leverage your expertise to improve timing convergence flows in collaboration with methodology teams.

What we need to see:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5 years' experience or MS (or equivalent experience) with 3 years' experience in Timing and STA

  • Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management.

  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis.

  • Experience in physical design and optimization e.g., synthesis, placement, routing, logic restructuring, etc. to improve timing and power.

  • Expertise and in-depth knowledge of industry standard STA and timing convergence tools.

  • Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes.

Ways to stand out from the crowd:

  • Background in domain specific STA and timing convergence, such as GPUs, CPUs, LPU or SOCs

  • Background in logic synthesis and equivalence checking/FV.

  • Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.

  • Understanding and timing closure of digital logic/macros in AMS designs/IPs.

  • Experience in methodology and/or flow development as well as automation.

NVIDIA is widely considered to be the leader of AI computing, and 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.

#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 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.
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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

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