Full-Time

ASIC Design Engineer – New College Grad 2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$100k - $189.8k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

On-site in Santa Clara, California.

Category
Electrical Engineering (1)
Hardware Engineering (1)
Required Skills
VLSI Design
Verilog

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Requirements
  • Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science.
  • Experience in micro-architecture and RTL development (Verilog).
  • Good understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.
  • Exposure to Digital systems and VLSI design, Computer Architecture, Computer Arithmetic is required.
  • Strong interpersonal skills and an excellent teammate.
Responsibilities
  • As a key member of the GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements and system limitations.
  • Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design.
  • Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.
  • Work on a broad list of IPs such as GPUs work scheduler, time distribution system, interrupt controllers, and DMA engines.
  • Architect features to help silicon debug and support post-silicon validation activities.
Desired Qualifications
  • Strong C/C++, Python or Perl skills.
  • Good debugging and analytical skills.
  • Experience with arbiters, scheduling, synchronization & bus protocols, interconnect networks, caches

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • Rubin delivers 5x faster inference and 3.5x faster training than Blackwell starting H2 2026.
  • Major hyperscalers Microsoft, AWS, Google Cloud, and CoreWe confirmed Vera Rubin implementation ahead of Q3 2026.
  • Rubin Ultra targets 15 ExaFLOPS FP4 inference with 1.5 PB/s NVLink bandwidth per rack in 2027.

What critics are saying

  • HBM4 scarcity from SK Hynix and Micron forces Rubin production cut to 1.5M units in 2026.
  • Kyber NVL144 rack delayed to 2028 due to TSMC 78-layer PCB yield failure, breaking annual cadence.
  • Rubin Ultra cuts HBM4E stacks to 12-Hi, delivering only 2.66x instead of 4x performance gain.

What makes NVIDIA unique

  • Vera Rubin is a six-chip extreme codesigned AI supercomputer platform, not just a GPU.
  • NVIDIA shifted to annual architecture cadence with Rubin, Ultra, and Feynman releases through 2028.
  • Vera CPU with 88 ARM cores enables per-GPU efficiency and 1/10 Blackwell operational costs.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-3%
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