Power U-Architect at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, TechnologyIndustries

Requirements

  • BSC or MS in Computer Engineering or Electrical Engineering
  • 2+ years of experience
  • Good interpersonal skills; much collaboration with design teams is expected
  • Familiarity with Verilog and ASIC design or verification
  • Desire to bring data-driven decision-making and analytics to improve products
  • Strong coding/automation skills, preferably in Python, Perl, and C++
  • Ways to Stand Out
  • Experience with Power Artist, PTPX (Prime Power RTL, RTL Architect)
  • Strong understanding of concepts of energy consumption, estimation, data movement and low power design

Responsibilities

  • Analyze full chip and unit-level power data and drive the FE/BE ASIC teams to improve their units’ power efficiency
  • Research, develop, and deploy methodologies to help NVIDIA's products become more energy efficient
  • Develop techniques to model, analyze, and reduce power consumption of NVIDIA Switches product line
  • Collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation switches
  • Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools to help improve product power efficiency
  • Develop and share best practices for performing pre-silicon power analysis
  • Perform comparative power analysis to spot trends and anomalies that warrant more scrutiny
  • Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes
  • Select and run a wide variety of workloads for power analysis
  • Prototype new architectural features in Verilog and power analysis

Skills

Power Analysis
RTL
Verilog
ASIC Design
Physical Design
Gate-level Power Analysis
Pre-silicon Power Analysis
Power Optimization
Energy Efficiency

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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