Senior Signal and Power Integrity Engineer - Hardware at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

BS/MS in Electrical Engineering or equivalent experience
6+ years of industry experience
Strong technical background in applied electromagnetics, transmission line theory, and signal processing
SI work on one or more signaling standards (PCIe, USB, SATA, HDMI, HBM, DDR5, GDDR6, LPDDR5X, etc.)
Hands-on use of 3D modeling tools like ANSYS HFSS/Q3D, 2.5D with ANSYS SIWAVE or similar, and 2D such as Ansys2D
Familiarity with system-level timing or loss budget including silicon, package, and board impairments
Familiarity with use of VNA, TDR, DSO, ParBERT, and tools/applications like ADS, Ansys Designer, JMP, Matlab, Cadence Allegro

Responsibilities

Work on creative Signal Integrity solutions to complex system design problems
Model and optimize vias, connectors, sockets, breakouts, and various system components in 3D EM tools
Perform system-level signal integrity simulations of high-speed NVLink 200Gbs+, USB-4, PCIe5, GDDR6, LP5X, and other interfaces
Constantly improve SI models using data from lab measurements and/or modeling tool/methodology updates
Create, review, and perform post-layout SI extractions for substrate and board layout SI guidelines
Automate simulations, gather data, perform analysis, and visualize using JMP, MATLAB, or similar tools
Work in a dynamic cross-functional role to optimize package, PCB, ASIC, and mixed-signal circuits

Skills

Key technologies and capabilities for this role

ANSYS HFSSANSYS Q3DANSYS SIWAVEMATLABJMPCadence AllegroADSAnsys DesignerVNATDRDSOParBERTPCIe5USB-4GDDR6NVLink

Questions & Answers

Common questions about this position

What is the salary for this Senior Signal and Power Integrity Engineer position?

This information is not specified in the job description.

Is this role remote or onsite?

This is an onsite position.

What technical skills are required for this role?

Required skills include a strong background in applied electromagnetics, transmission line theory, and signal processing; experience with SI on signaling standards like PCIe, USB, DDR5, GDDR6; hands-on use of 3D modeling tools like ANSYS HFSS/Q3D, SIWAVE; familiarity with system-level timing budgets and lab tools like VNA, TDR.

What is the work environment like at NVIDIA for this role?

The role offers a dynamic cross-functional environment working with state-of-the-art technology on challenging problems in a leading innovator in computing through GPUs and deep learning.

What makes a candidate stand out for this position?

Standout candidates have experience in 200Gbps interconnect modeling especially backplanes, hands-on lab expertise with high-speed connectors using VNA, understanding of stamping/plating/molding processes, knowledge of LCP materials, and statistical analysis skills for production performance.

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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