ASIC Hardware Design Engineer - New College Grad 2026

Reposted 17 Days Ago
Austin, TX, USA
In-Office
116K-219K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As an ASIC Design Engineer, you will develop methodologies and RTL for performance monitoring of GPUs and SOCs, working alongside senior engineers and team members.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's motivated by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join the NVIDIA System-On-Chip (SOC) group as an ASIC Design Engineer and make a broad impact. You will focus on improving methodologies and delivering system-level IP to measure performance across multiple projects.

What you'll be doing:

  • Be an integral part of the team defining, developing, and delivering system-level methodologies and RTL to measure performance on the industry's leading GPUs and SOCs.

  • Learn and contribute to the development and automation of flows and methodologies to efficiently build, deliver, and support a system-level IP.

  • Support projects by applying the performance monitoring system under the guidance of senior engineers.

  • Learn and run RTL checks to ensure design quality (e.g., cross clock domains (CDC), clocks, reset, latency, and more).

  • Design and implement RTL features (microarchitecture and RTL) with mentorship from experienced engineers.

  • Work with architects, designers, and software engineers to accomplish your tasks.

What we need to see:

  • Bachelor's or Master's degree in Electrical or Computer Engineering (or equivalent experience).

  • Strong academic background in digital design and computer architecture.

  • Programming experience in Python or other scripting languages.

  • Knowledge of RTL design (Verilog) and digital design concepts.

  • Understanding of basic SOC architecture concepts.

  • Excellent problem-solving and analytical skills.

  • Proven teamwork and communication across multiple teams.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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

Python
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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