Circuit Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Datacenter, Automotive, EmbeddedIndustries

Requirements

MS in EE, CE, Systems Engineering (or equivalent experience)
8+ years of experience in a related hardware engineering position, particularly exposed/related to silicon perf, power, timing closure, reliability, electromigration closure etc
Knowledge of chip and board level dI/dt analysis/mitigation techniques, including but not limited to DVFS and board PDN design background is highly desirable
Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms
Background with product binning methods, performance/power optimization techniques, power supply and substrate noise analysis and mitigation
Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications
Previous experience with silicon bringup, frequency and power characterization, PPA in PreSilicon or PostSilicon phases, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ)
Familiarity with Perl, C/C++, tool and script development, Windows and Linux OS is a plus
Excellent problem solving, collaborative, and interpersonal skills
Experience working with offshore team

Responsibilities

Architect essential next generation product features that are vital for performance, power optimization and management techniques all the way from feature definition to production; working with multi-functional teams
Drive new feature initiatives across multiple business units, while translating noise aware circuits and performance requirements to hardware features, design requirements, silicon characterization needs and test requirements
Create new system features and methodologies for Nvidia Silicon shipping into data center, consumer and automotive markets spanning broad areas
Prototype and fine-tune the features on pre-production silicon fabricated using state-of-the-art processes for circuit, speed, performance, power, yield and quality to define the world’s fastest products
Build pre and post-silicon methodologies to characterize Analog, digital and Mixed Signal circuits, silicon features, correlate silicon behavior with simulations, and provide design feedback
Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, ATE engineers, product managers, sales, and operations, in a multifaceted, high-energy work environment to bring industry-defining products to market
Design tools to automate characterization, data collection, test case execution, and results analysis
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

Skills

Key technologies and capabilities for this role

Circuit DesignNoise Aware CircuitsPower OptimizationPerformance OptimizationSilicon CharacterizationHardware ArchitectureASIC DesignYield OptimizationPrototype Tuning

Questions & Answers

Common questions about this position

What education and experience are required for the Circuit Engineer role?

A MS in EE, CE, Systems Engineering (or equivalent experience) and 8+ years of experience in a related hardware engineering position, particularly related to silicon performance, power, and timing, are required.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Circuit Engineer position remote or office-based?

This information is not specified in the job description.

What is the company culture like at NVIDIA's Silicon Solutions Group?

The team is fast-paced, multifaceted, shares a sense of humor, and collaborates extensively in a high-energy work environment to push boundaries and make ground-breaking impacts.

What makes a strong candidate for this Circuit Engineer position?

Candidates with an MS in EE, CE, or Systems Engineering and 8+ years of hardware engineering experience related to silicon performance, power, and timing, particularly those who can architect features, drive initiatives across business units, and work in multi-functional teams, stand out.

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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