Senior Low Power Integration Engineer 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

Semiconductor, AI, AutomotiveIndustries

Requirements

BS/MS (or equivalent experience) with 12+ years of proven ability in the area of silicon characterization and productization with focus on lower power system features
Exposure to Windows, Linux based Low Power states and Silicon Power behavior, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms
Strong EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting
Hands-on validation lab experience with silicon bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers)
Experience with ASIC power saving features and methods
Deep understanding of firmware/driver structures and their interaction with HW
Excellent problem solving, teamwork, and interpersonal skills
Background with automation scripting in languages such as Perl, Python, tcl
Prior experience in the lab with system level post silicon bring-up and debug is highly desired

Responsibilities

Bring up system level low power features to address existing and new product opportunities/requirements
Lead technical return-on-investment investigations, create/maintain feature bring-up plans for new silicon and participate in bring-up execution
Lead debug efforts from HW side to root cause feature sequences bugs, silicon bugs and complex system level issues caused by interactions between multiple HW and SW features
Craft creative solutions and WARs through lab experimentation and effective use of debug tools, to achieve high product quality at extremely aggressive schedules
Support manufacturing and customer facing teams to expertly address production needs and issues on the relevant features
Work closely and proactively with other engineering teams such as system power architects, chip and board designers, software/firmware engineers, HW/SW QA teams and Applications engineering teams to drive low power design, development, debug and release of next generations products

Skills

Low Power Integration

Post-Silicon Validation

System Bring-up

Hardware Debug

Silicon Bugs

HW/SW Integration

Power Management

Debug Tools

Lab Experimentation

Feature Bring-up

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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