Senior FPGA Prototyping Platform Engineer

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.

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

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

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

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

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

• 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).

• 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!

This posting is for an existing vacancy. 

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