Principal Network Engineer
New
NVIDIA
NewAs a new graduate ASIC Design Engineer on the Memory Subsystem Team, you'll design RTL for sophisticated interconnects and memory accelerators, collaborating with architects and verification teams. The role requires a BS or MS in Electrical Engineering or Computer Engineering, strong Verilog or VHDL proficiency, and scripting language experience. You'll work with synthesis, timing analysis, and CAD tools on cutting-edge process technologies. Base salary ranges from $100,000–$166,750 (Level 1) or $116,000–$189,750 (Level 2), plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA is looking for an ASIC Design Engineer - New College Grad 2026 to join our Memory Subsystem Team!
What you'll be doing:
As a member of our Memory Subsystem Design team, you will collaborate with architects/design verification/formal verification/physical design team to deliver a world-class solution. NVIDIA SOC Interconnects, ordering controllers and memory accelerators are among the industry's most sophisticated because of the complex area, latency, power, bandwidth and quality-of-service requirements.
In this position, you will have the opportunity to be responsible for the micro-architecture and design including RTL design, synthesis and timing analysis using innovative CAD tools and using the latest process technologies.
What we need to see:
Currently pursuing or recently completed a BS or MS in Electrical Engineering or Computer Engineer or related degree (or equivalent experience).
Exposure to high-speed coherent interconnects, protocol bridges, hardware-managed coherency and system level caches is a plus
Experience with multiple clock domains and asynchronous interfaces is a plus
Knowledge of industry specifications like CHI/CXL/PCI-E is a plus.
Strong proficiency of Verilog or VHDL.
Scripting language like PERL
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 people in the world working for us. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
175K – 335K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 33 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
Search by role, company, or anything a posting mentions.
