Low Power ASIC Engineer - New College Grad 2026 at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Semiconductors, AI, AutomotiveIndustries

Requirements

  • Pursuing or recently completed a BS, MS or PhD in Electrical or Computer Engineering, or equivalent experience
  • Understanding of low power design techniques such as multi VT, Clock gating, Power gating, Block Activity Power, and Dynamic Voltage-Frequency Scaling (DVFS) etc
  • Good understanding of processor architecture (GPU is a plus), and related power management design/DV techniques
  • Experienced with Incisive Low-Power or Synopsys VCS NLP
  • Strong debug skills and experience with Verdi
  • Fluent in Verilog, SystemVerilog, and understanding of UVM

Responsibilities

  • Working very closely with Low Power Architecture, Design, and Software teams to understand next generation features
  • Responsible for architecting/developing testbench, infrastructure, and testplans to verify various power management solutions for NVIDIA products
  • Bring creative ideas that help improve power-aware DV methodologies, as well as influence EDA vendors to improve our simulation and debug efficiencies

Skills

Low Power Design
Clock Gating
Power Gating
DVFS
Processor Architecture
GPU
Incisive Low-Power
Synopsys VCS NLP
Verdi
Testbench Development
Verification
Debug

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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