Senior FPGA Prototyping Platform Engineer

Posted 11 Days Ago
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Santa Clara, CA, USA
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves building FPGA prototypes, lab debugging, coordinating with teams, and releasing prototypes to customers. Requires extensive FPGA prototyping experience.
Summary Generated by Built In

Are you passionate about FPGA prototyping? Are you interested in pushing the boundaries of innovation to make FPGA prototypes faster and more efficient? Can you work in a fast-paced environment that requires coordination between many teams across geographies and resolving sophisticated problems daily? If so, we are looking for hardworking engineers who will craft FPGA prototypes of our next generation GPUs and SOCs on standard FPGA prototyping platforms.

We are now looking for a Senior FPGA Prototyping Platform Engineer to join our Emulation team onsite in Santa Clara, CA.

What you'll be doing:

  • Build FPGA prototypes by taking the design through synthesis and place and route, analyzing timing and generating bitstreams.

  • Bring up the design on FPGA prototyping platforms involving hands-on lab debug with HW and SW debuggers.

  • Release the prototype to the customers and support them when they face problems.

  • Using HW diagnostics specific to Prototyping platforms to help isolate issues between HW platform, FPGA design programmed on to platform.

  • Good coordination with verification engineers and SW teams and Lab Technicians  will be needed to accomplish your tasks.

What we need to see:

  • BS (or equivalent experience) in Electrical Engineering, Computer Engineering, or related fields with 7+ years of experience in FPGA prototyping, or MS with 5+ years of proven experience in FPGA prototyping.

  • Good understanding of FPGA prototyping hardware architecture, flows and tools.

  • Experience with hands-on FPGA prototyping lab tasks and working with or managing lab technicians in lab environment of medium to large scale.

  • Experience in backend flows of FPGA Prototyping - Synthesis, P&R and Timing closure, with emphasis on Synopsys Protocompiler and Xilinx Vivado.

  • Hands-on experience with lab FPGA debug methodologies, tools (Identify and/or ChipScope), and lab debug equipment (oscilloscopes, logic/protocol analyzers).

Ways to stand out from the crowd:

  • Experience with carrying out independent as well as collaborative debug tasks and ability to quickly triage and root-cause issues is a major plus.

  • Prior experience with prototyping (Synopsys HAPS or FPGA platforms) of a high-performance processor or SOC is a plus.

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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today!

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 for Level 4, and 196,000 USD - 310,500 USD for Level 5.

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.

Skills Required

  • BS in Electrical Engineering or Computer Engineering or equivalent experience
  • 7+ years experience in FPGA prototyping or 5+ years with MS
  • Good understanding of FPGA prototyping hardware architecture, flows and tools
  • Hands-on experience with lab FPGA debug methodologies and tools
  • Experience in backend flows of FPGA Prototyping - Synthesis, P&R, and Timing closure
  • Experience managing lab technicians in lab environment

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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