Power Architecture Engineer at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

B.Tech./M.Tech with 1+ years of experience related to Power such as Power analysis, Power Design, Power Aware Verification, UPF methodologies and Power Correlation
Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits
Strong fundamentals in digital design and Verilog
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, Voltage Islands and Dynamic Voltage-Frequency Scaling (DVFS)
Good background in power estimation techniques, flows and algorithms
Knowledge of power intent formats - UPF/CPF or similar
Experience in Static Power check tools like VCLP/CLP or similar & Dynamic Power verification tools like VCS-NLP or equivalent

Responsibilities

Be part of NVIDIA Power Architecture Group that owns end-to-end power aspects such as ASIC power analysis, power architecture, low power design, power-aware verification, advanced power methodologies, UPF methodologies, power feature bring-up on silicon, and post-Si power correlation for NVIDIA's family of products
Contribute to power analysis by helping to architect, develop, verify & correlate power estimation models/tools for NVIDIA's products
Be part of the team that architects & designs system-level power features for optimizing the dynamic and leakage power dissipation for different usecases
Work on power verification which includes structural, functional & power aware verification of power features of NVIDIA products by coming up with test plans, write testcases, build test bench components like Monitors, assertions and coverage points & own verification convergence across RTL, Gates and Silicon
Validate the effectiveness of the power features on silicon, conduct studies and contribute to the Performance/Watt improvement ideas
Help build power management solutions and drive innovation in energy efficiency across NVIDIA’s product portfolio

Skills

ASIC power analysis

power architecture

low power design

power-aware verification

UPF methodologies

power estimation models

RTL verification

Gates verification

Silicon validation

power management

performance/watt optimization

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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