Lead Speed and Reliability Engineer - DFP at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Gaming, Automotive, DatacentersIndustries

Requirements

MS in EE, CE, Systems Engineering (or equivalent experience) and 8+ years of experience in a related hardware engineering position
Previous engineering experience in CPU/GPU/SOC NPI bringup, with focus on driving methodologies and testplans
Familiarity with silicon bringup and tuning a plus, related to timing, speed, reliability and power
Familiarity with STA timing closure, circuit design, noise characterization, product binning methods and/or performance/power optimization techniques

Responsibilities

Driving methodology and design for NVIDIA testing and deploying new HW features
Crafting related tools and methods to ensure SOL, efficient testing meeting quality benchmarks. Scope spans from datacenter to chip level
Creating productization processes and methodologies to guide SSG teams on templates to characterize, test and release state-of-art products
Specify critical metrics to meet across process and improve these based on findings
Prototype and fine-tune these on pre-production silicon (including test chips) fabricated using innovative processes for speed, performance, power, yield and quality
Provide guidance to silicon facing teams on how to take the feature to productization, including hands-on bringup for feature validation
Collate takeaways from silicon and correlate to design. Provide feedback to improve the feature in future, thus being responsible for the feature roadmap for all NVIDIA products
Collaborating with the best minds in NVIDIA across various teams (System Architecture, PDE, Application Engineering, Product Manager, Sales, Operations) in a dynamic, creative work environment to bring industry-defining products to market

Skills

Timing Analysis

Reliability Testing

Speed Optimization

Test Methodology

Hardware Design

Silicon Validation

Test Planning

Productization

Pre-Production Silicon

Chip Testing

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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