Senior Chip Design Engineer

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Drive chip-level integration for advanced GPU networking silicon. Collaborate with teams for optimal performance in design and verification. Maintain integration methodologies and handle timing analysis and CDC checks.
Summary Generated by Built In

We are looking for a Design Integration Engineer to join our GPU Network Team within the Chip Design Group. This is an exciting opportunity to be part of a growing and expanding team that is shaping the future of GPU networking silicon. You’ll work in a dynamic, technology-driven environment where your contributions make a real difference,

with opportunities for growth, learning, and leadership.

Join one of the most desirable employers in the tech industry and help us build the next generation of GPU networking silicon.

What you’ll be doing:

  • Drive chip-level integration for advanced GPU networking silicon projects.

  • Collaborate with architecture, RTL design, verification, FV and physical design teams to ensure seamless integration and optimal performance.

  • Develop and maintain integration flows, methodologies, and automation to improve efficiency and quality.

  • Perform RTL synthesis, timing analysis, and support verification and post-silicon activities.

  • Handle Clock Domain Crossing (CDC) checks and ensure robust design practices.

  • Work closely with multiple teams across architecture, micro-architecture, backend, and firmware to deliver high-quality silicon.

  • Contribute to state-of-the-art technologies delivering industry-leading throughput and ultra-low latency for GPU networking solutions.

What we need to see:

  • B.Sc. in Electrical or Computer Engineering

  • 5+ years of experience in chip design, integration, RTL design and/or verification

  • Strong knowledge of Verilog /System Verilog and RTL design principles.

  • Hands-on experience with CDC analysis, synthesis, and timing closure.

  • Familiarity with EDA tools (Synopsys, Cadence, Mentor) and scripting languages (Python, TCL).

  • Excellent communication skills and ability to work in a collaborative, fast-paced environment.

Ways to stand out from the crowd:

  • Knowledge of network protocols, HPC, or distributed systems – an advantage.

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Top Skills

Cadence
Eda Tools
Gpu
Mentor
Python
Synopsys
System Verilog
Tcl
Verilog
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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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