Full-Time
SoC ASIC Verification Engineer New Grad
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$100k - $189.8k/yr
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA
In Person
 Hardware Engineering (1) |
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- Graduating or recently graduated with a Bachelors, Masters or PhD Degree in Electrical Engineering, Computer Science or Computer Engineering (or equivalent experience).
- Relevant experience in ASIC verification
- Proficiency with at least one of these - C++, Object Oriented Programming, Universal Verification Methodology, SystemVerilog
- Exceptional analytical skills and problem solving skills
- Experience in crafting testbenches, methodologies for large and complex chips
- Solid understanding of verification concepts
- Good understanding of basic concepts of CPU or SoC architecture
- Familiarity with verification challenges in large scale designs is a plus
- Experience with verification of SoCs with embedded processors or CPU verification
- Work with some of the best engineers to define verification strategies and execute plans at full chip level
- Build and continuously reform verification infrastructure and methodologies to meet the demands of next generation CPU
- Work with architects, RTL designers, FPGA, emulation engineers to ensure that verification requirements are met for each project
- Ability to handle complex and hard-to-solve problems in programming and verification
- Ambitious and dedicated with strong communication and interpersonal skills
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
Simplify's Take
What believers are saying
- Hyperscaler AI spending keeps driving data-center revenue growth through 2027.
- Vera CPUs add a new attach point inside AI server stacks.
- Global supply shortages preserve pricing power for NVIDIA's highest-end chips.
What critics are saying
- AMD and Intel are attacking NVIDIA's AI platform with x86 alternatives.
- China export restrictions remove a major data-center revenue pool immediately.
- A hyperscaler capex pause would hit NVIDIA's concentrated data-center business hard.
What makes NVIDIA unique
- NVIDIA combines GPUs, software, and AI infrastructure into a full-stack platform.
- CUDA locks developers into NVIDIA's ecosystem across training, inference, and simulation.
- Its Blackwell lineage extends leadership from gaming into hyperscale AI factories.
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