Full-Time
ASIC Design Engineer – New College Grad 2026
Updated on 9/4/2026
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
On-site in Santa Clara, California.
Bachelor's
 Hardware Engineering (1) |
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- 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.
- 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.
- 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's Take
What believers are saying
- Reuters said NVIDIA guides fiscal 2028 revenue growth near 70%, despite supply constraints.
- Amazon ordered 2 million GPUs, validating multi-year demand through 2028.
- Lancium's August 2026 partnership expands NVIDIA's power-secured campus pipeline for future deployments.
What critics are saying
- China's antitrust probe and export curbs threaten sales, fines, and shipment delays in 2026.
- Reuters reported July 2026 white-listing cut over half of NVIDIA's Asian buyers.
- Customer financing ties NVIDIA's fate to OpenAI and hyperscaler capex; one pause hits revenues.
What makes NVIDIA unique
- NVIDIA's CUDA ecosystem still locks developers into its chips and software stack.
- Vera Rubin shipped in July 2026, extending NVIDIA's rack-scale platform leadership.
- NVIDIA now sells compute, networking, software, and financing as one AI factory.
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