Senior System ASIC Engineer - Speed and Reliability at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Data Centers, Servers, Automotive, EmbeddedIndustries

Requirements

MS in EE, CE, Systems Engineering (or equivalent experience)
4+ years of experience in a related hardware engineering position
Previous experience with silicon bringup, frequency and power characterization, PPA in Pre-Silicon or Post-Silicon phases, tester-to-system correlation
Experience with JMP or equivalent data analysis tools and lab tools (oscilloscopes, multimeters, DAQ)
Scripting experience with Perl/Python
Exposure to Windows, Linux, and Android OS environments
Ways to stand out
Some familiarity with statistical methods and tools for data analysis
A "go-getter, can get it done" attitude and independent mindset

Responsibilities

Understand chip HW features and intersection with speed characteristics; develop state-of-the-art characterization/validation strategies for these features
Understand new silicon features and create internal characterization plans to validate benefits, functionality, etc
Drive new feature testing methodology initiatives and implementation plan across multiple business units; translate hardware features design requirements to silicon speed characterization needs and test requirements for Productization
Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, DFx engineers, ATE engineers, product managers, sales, and operations, in a multifaceted, high-energy work environment to bring industry-defining products to market
Design tools and scripts to automate characterization, data collection, test case execution, and results analysis
Prototype and fine-tune the testing methodology to suit the needs of the next generation products
Build pre and post-silicon bring up flow and methodologies for productization quality and efficiency when characterizing silicon
Build tools/automation scripts required for smooth execution of test plans for productization; continuously drive efficiency improvements to ensure timely execution of projects
Architect essential testability features for next-generation product that are vital for performance, power optimization and management techniques all the way from feature definition to production; working with multi-functional teams
Correlate silicon behavior across different platforms and simulation expectations, and provide design feedback
Find creative solutions to complex silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment
Collaborate with the best minds in NVIDIA across various teams (System Architecture, PDE, Application Engineering, Product Manager, Sales, and Operations) in a dynamic, creative work environment to bring industry-defining products to market

Skills

ASIC Design

Silicon Characterization

Speed Validation

HW Features

ATE Testing

DFx

Firmware Engineering

Reliability Engineering

System Architecture

Chip Design

Board Design

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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