FPGA Prototyping and Emulation Engineer

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!

What you’ll be doing: You will design, implement, and verify FPGA prototypes of the industry's leading Nvidia's AI Processors, GPUs, Networking chips, and SoCs.

This is a role for a versatile engineer that includes RTL design, verification, FPGA partitioning and implementation, and lab-based bringup of the SoC on FPGAs.

This position requires a wide range of skills and exceptional problem-solving ability. You will work closely with architects, designers, software engineers, and verification teams to accomplish your goals.

If you thrive in a dynamic environment and enjoy collaborating across diverse engineering teams to satisfy multiple customers' needs, then this high-visibility position is right for you.

In this role, you will also leverage cutting-edge industry AI models and agents to optimize your day-to-day hardware development and validation cycles, keeping your workflows highly efficient and automated.

What we need to see:  Education & Experience: B.S. or M.S. in EE, CS, or CE with 3+ years of experience working in the semiconductor industry.

FPGA Expertise: Recent hands-on FPGA experience including partitioning (Protocompiler), implementation, synthesis (Synplify), and timing closure (Vivado). Proven ability to architect, implement, and verify modules for FPGA interconnect.

Verification & Lab Debug: Strong simulation-based verification and lab-based debug skills on FPGAs. Hands-on experience with lab FPGA debug methodologies (such as ChipScope, Identify, or similar) and lab equipment (such as oscilloscopes and logic analyzers).

Software & Scripting: Proficient in Verilog, SystemVerilog, Python , Perl, and Make. Must be comfortable working in both Linux and Windows environments.

Infrastructure: Experience with a source control system, such as Perforce.

AI & Automation: Demonstrated experience utilizing AI assistants, LLMs, and automation tools to optimize day-to-day engineering tasks and streamline complex development workflows.

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