Director, System-on-Chip IP RTL

Posted 11 Days Ago
Be an Early Applicant
3 Locations
In-Office or Remote
284K-431K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead RTL design teams for SOC development, define specifications, manage teams, and ensure innovation in silicon products.
Summary Generated by Built In

NVIDIA is hiring a Director of SOC IP RTL development for the next generation custom silicon solutions. We are looking for special individuals with passion and desire to deliver innovative products. Together, we will build the next generation of life changing SoC's. If you are a motivated individual that understands how SoC systems are architected and built, has intimate knowledge of SOC and IP design and understand various development cycles, this is your place to be. 

What you'll be doing:

  • Lead RTL design teams developing IP and SOC’s from concept through productization silicon in innovative technologies and range of products in cloud, networking, and other applications.

  • Develop microarchitecture specifications and RTL that bring together ARM CPUs, GPUs, custom accelerators, high speed interfaces, internal and external IP into a single chip or multiple chiplets.

  • Work with Architects, SOC Leads, and Customers to develop SOC IP design requirements, specifications, RTL development and verification plans, methodology alignment, and program execution to ensure pre-silicon and post silicon targets are met.

  • Selection and adoption of third party IPs for implementing the best possible solution for a specific customer workload or target market segment.

  • Support and encourages innovation while keeping execution on track

What we need to see:

  • Design leadership of complex 3/5/7nm IP with high perf ARM cores, DDR, Video/GPU, ML IP and SOC experience preferred

  • Experienced driving RTL design development concept through feature and schedule planning, front end design and verification closure, TO, Production and post-production support

  • Experienced in building teams and leading IP SOC RTL design with internal and external partners, internal and 3PIP

  • Responsible for results, technical collaboration and support with Customers on silicon development.

  • Drives innovation and efficiencies on ongoing basis in our IP/SOC methodology

  • Bachelor’s Degree or Master’s of Science in Electrical Engineering, Computer Science, Computer Engineering (or equivalent experience)

  • 18+ years of overall industry experience

  • 5+ years of managing a team.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking, a diverse set of people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 284,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Arm
Ddr
Gpu
Machine Learning
Rtl
Soc
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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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