Low Power ASIC Engineer - New College Grad 2026 at NVIDIA

Santa Clara, California, United States

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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

Key technologies and capabilities for this role

Low Power DesignClock GatingPower GatingDVFSProcessor ArchitectureGPUIncisive Low-PowerSynopsys VCS NLPVerdiTestbench DevelopmentVerificationDebug

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 96,000 USD - 161,000 USD for Level 1, and 108,000 USD - 184,000 USD for Level 2, determined based on location, experience, and pay of employees in similar positions.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills are required for the Low Power ASIC Engineer role?

Required skills include understanding of low power design techniques such as multi VT, Clock gating, Power gating, Block Activity Power, and DVFS; good understanding of processor architecture; experience with Incisive Low-Power or Synopsys VCS NLP; strong debug skills with Verdi; and fluency in Verilog, SystemVerilog, and UVM.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, encouraging environment where everyone is inspired to do their best work, with forward-thinking and hardworking people, emphasizing creativity, autonomy, and tackling challenges.

What makes a candidate stand out for this role?

Candidates stand out with prior knowledge of Low Power Architecture, Low Power CV, and deep learning; good understanding of power intent in UPF format; strong background in Low Power architectures or verification; scripting in Python or PERL; knowledge of C or C++; and experience with scripts or Makefiles for simulation programs.

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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