Senior Silicon and System Product Lead at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, AI, Gaming, Automotive, DatacenterIndustries

Requirements

BS or MS in EE, CE, CS, Systems Engineering or equivalent experience
Proven experience of 8+ years in the area of product performance and power evaluations
Experience with system level features, product binning methods, optimization techniques, methods and tools for data analysis and statistics
Experience working on new product introduction, market analysis (background with gaming, automotive, datacenter preferred)
Deep understanding of critical path analysis, power/performance analysis, process technologies, transistor/device physics
Familiarity with silicon bringup and validation, frequency and power characterization, product analysis and optimization (hands-on post silicon experience a plus)
Excellent problem solving, partnership, and interpersonal skills
Experience working with offshore teams
Exposure to CPU/GPU/SoC architecture and HW-SW co-design (a plus)

Responsibilities

Drive product performance and power targets, trade-off features/configurations and provide innovative solutions to complex silicon and system level problems
Evaluate new market segments and use cases; translate market requirements to engineering problem statements and metrics
Innovate performance, power, yield and quality optimizations and features for GPU and SoC products in gaming, automotive, datacenter and DL/AI segments
Develop methodologies and requirements for multi-functional teams to drive silicon and system product features to production; incorporate productization feedback to improve next generation
Lead the team for feature requirements and schedule from architecture to silicon phase of projects
Work alongside system architects, designers, marketing teams, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, sales, and silicon operations to bring products to market

Skills

Silicon Design

System Architecture

GPU

SoC

Performance Optimization

Power Optimization

Yield Optimization

Market Analysis

Product Requirements

Hardware Design

Software Design

Firmware

Datacenter

Automotive

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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