Senior Circuit Design Engineer - Power Modeling and Simulation at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BSEE (or equivalent experience)/MS or PhD degree preferred in Electrical or Computer Engineering with 5+ years of experience with modeling and simulation of digital and analog circuits and systems and associated power delivery networks
Experience with industry-standard electromagnetic simulation tools (Ansys, Sigrity)
Experience with modeling and simulation using Matlab/Simulink, Simplis, Spice, verilogAMS, mixed-signal RTL+spice, s-parameters, etc
Familiarity/experience with industry-standard design and EDA tools (Cadence Virtuoso, Allegro) and circuit simulation tools (HSpice, Spectre, Primesim, XA, etc)

Responsibilities

Participate in innovative Processor design in deep submicron technologies
Work as part of a global circuits team to design innovative power delivery and power management solutions
Model and simulate analog and digital circuits and systems in a variety of environments with different degrees of abstraction and complexity
Model and simulate power delivery networks (PDN) from die level all the way to platform level
Perform detailed block-level and system-level simulations to ensure good reliability, performance, and stability of the designs
Be a mentor/technical lead for junior team members

Skills

Key technologies and capabilities for this role

AnsysSigrityMatlabSimulinkSimplisSPICEVerilog-AMSRTLS-parametersPower Delivery NetworksCircuit SimulationElectromagnetic Simulation

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Circuit Design Engineer role?

A BSEE (or equivalent)/MS or PhD in Electrical or Computer Engineering is required, along with 5+ years of experience with modeling and simulation of digital and analog circuits and systems and associated power delivery networks.

What key tools and software experience is needed for this position?

Experience with electromagnetic simulation tools like Ansys and Sigrity is required, along with modeling tools such as Matlab/Simulink, Simplis, Spice, verilogAMS, and EDA tools like Cadence Virtuoso, Allegro, HSpice, Spectre, Primesim, and XA.

What does the company culture at NVIDIA look like for this team?

NVIDIA features a dynamic and growing Circuits Solutions Group with seamless collaboration, shared success, commitment to diversity and individuality, where everyone contributes and belongs as part of an eclectic, passionate group of professionals.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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