Signal and Power Integrity Engineer - Hardware at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

BS/MS in Electrical Engineering or equivalent experience
2+ years of industry experience
Strong technical background in applied electromagnetics, transmission line theory, and signal processing
SI work on one or more signaling standards like PCI express, 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
Background with use of VNA, TDR, DSO, ParBERT and tools like ADS, Ansys Designer, JMP, Matlab, Cadence Allegro (plus)
Ways to stand out
Expertise in one or more high-speed interface SI/PI design on industry standard system platforms
Experience with lab measurements, debugging, SI lab correlation using oscilloscope/spectrum analyzer/VNA
Knowledge of circuit design, board/pkg technology & design, link architecture, timing budget methodologies
Familiarity with PDN evaluation using layout extraction tools for packages and PCBs and spice-based time domain simulations

Responsibilities

Work on crafting creative Signal Integrity solutions to complex system design problems
Modeling and optimization of vias, connectors, sockets, breakouts, and various system components in 3D EM tools
System-level signal integrity simulations of high-speed NVlink 200Gbs+, USB-4, PCIe5, GDDR6, LP5X, and other interfaces
Constant improvements of SI models using data from lab measurements and/or modeling tool/methodology updates
Substrate and board layout SI guidelines creation, review, and post-layout SI extractions
Simulation automation, data gathering, analysis, and visualization using JMP, MATLAB, or similar tools
Work in a dynamic cross-functional role to optimize package, PCB, ASIC, mixed signal circuit

Skills

Signal Integrity

Power Integrity

ANSYS HFSS

ANSYS Q3D

ANSYS SIWAVE

MATLAB

JMP

PCIe

USB4

GDDR6

NVLink

LPDDR5X

Electromagnetics

Transmission Line Theory

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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