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 other objective job-related factors. The expected base salary ranges for this position are: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.
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
- Bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering, or a related field
- 7 or more years of experience in FPGA prototyping with a bachelor's degree, or 5 or more years with a master's degree
- Understanding of FPGA prototyping hardware architecture, flows, and tools
- Hands-on FPGA prototyping laboratory experience
- Experience working with or managing lab technicians in medium- to large-scale laboratory environments
- Experience with FPGA prototyping backend flows, including synthesis, place and route, and timing closure
- Experience with Synopsys ProtoCompiler and Xilinx Vivado
- Hands-on experience with FPGA laboratory debug methodologies and tools such as Identify or ChipScope
- Experience using oscilloscopes, logic analyzers, and protocol analyzers
- Independent and collaborative debugging, triage, and root-cause analysis experience
- Experience prototyping high-performance processors or SoCs using Synopsys HAPS or FPGA platforms
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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.”
