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.
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.
#LI-Hybrid
Skills Required
- B.S. or M.S. in Electrical Engineering, Computer Science, or Computer Engineering with 3+ years semiconductor industry experience.
- Hands-on FPGA experience including partitioning (Protocompiler), implementation, synthesis (Synplify), and timing closure (Vivado).
- Ability to architect, implement, and verify modules for FPGA interconnect.
- Strong simulation-based verification and lab-based FPGA debug skills; familiarity with ChipScope, Identify, or similar methodologies.
- Experience with lab equipment such as oscilloscopes and logic analyzers for FPGA bring-up and debug.
- Proficient in Verilog and SystemVerilog.
- Proficient in Python, Perl, and Make; comfortable in both Linux and Windows environments.
- Experience with a source control system such as Perforce.
- Demonstrated experience utilizing AI assistants, LLMs, and automation tools to optimize engineering workflows.
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 — 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.
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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.
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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
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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