Senior Power Architecture and Optimization Engineer at NVIDIA

Santa Clara, California, United States

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$168,000 – $310,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

MS (or equivalent experience) with 3+ years of experience or PhD in a related field
Strong understanding of concepts related to energy consumption, estimation, data movement, and low-power design
Familiarity with Verilog and ASIC design principles
Knowledge of Power Artist and PTPX (Prime Power RTL, RTL Architect)
Good verbal and written English skills; strong interpersonal skills are essential for collaboration with design teams
Strong coding/automation skills, preferably in Python, Perl, and C++

Responsibilities

Use internally developed tools and industry standard pre-silicon power analysis tools to improve product power efficiency
Develop and share best practices for performing pre-silicon power analysis
Perform comparative power analysis to identify trends and anomalies
Interact with architects and RTL designers to interpret power data and drive them to implement fixes
Select and run a wide variety of workloads for power analysis
Prototype new architectural features in Verilog and analyze power
Automate flows and define new flows to fast-track power anomaly detection
Utilize AI to develop power optimization solutions

Skills

Key technologies and capabilities for this role

VerilogPythonPerlC++Power ArtistPTPXASIC designPower analysisLow-power design

Questions & Answers

Common questions about this position

What is the salary range for this Senior Power Architecture and Optimization Engineer position?

The base salary range is $168,000 - $310,500 USD.

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

This information is not specified in the job description.

What key skills are required for this position?

Candidates need a strong understanding of power concepts like energy consumption and low-power design, familiarity with Verilog and ASIC principles, knowledge of tools like Power Artist and PTPX, and strong coding skills in Python, Perl, and C++.

What is the company culture like at NVIDIA for this role?

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

What benefits are offered for this position?

Candidates are eligible for equity and benefits.

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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