Senior RTL Integration Engineer

Posted 23 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior RTL Integration Engineer will lead system-level integration of RTL builds, ensuring quality and performance. They will collaborate across teams and develop integration tools.
Summary Generated by Built In

We are seeking a Senior RTL Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices.

What you'll be doing:

In this role on the FullChip team, you will lead system-level integration. You will work directly with unit-level, Physical Design, CAD, Software, DFT, and other groups to ensure smooth integration and outstanding performance. You will: 

  • Lead the integration of complex RTL builds into a cohesive, high-performance chip

  • Collaborate with cross-functional teams to resolve integration issues and optimize system-level performance

  • Ensure that builds meet strict quality and performance standards

  • Drive the development and maintenance of integration scripts and tools

  • Participate in build reviews and provide feedback to improve build quality and efficiency

What we need to see:

  • BSc in Electrical Engineering or Computer Engineering, or equivalent experience, with a minimum of 5 years of relevant industry work experience

  • Proven experience in Front end integration and RTL build

  • Excellent analytical and problem-solving skills, capable of flawlessly identifying potential issues and providing effective solutions

  • Previous experience working with connectivity tools

  • Strong coding skills in Python or other industry-standard scripting languages

  • Outstanding communication skills to collaborate with various groups and build consensus

Ways to stand out from the crowd:

  • Previous experience in verification is an advantage

  • Prior experience in RTL build automation is a plus

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required

  • BSc in Electrical Engineering or Computer Engineering
  • Minimum of 5 years of relevant industry work experience
  • Proven experience in Front end integration and RTL build
  • Strong coding skills in Python or other industry-standard scripting languages

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.

  • 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.
  • 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.
  • 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.

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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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