High-Speed IO Engineer at NVIDIA

Santa Clara, California, United States

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$136,000 – $264,500Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, GraphicsIndustries

Requirements

BS or MS degree in EE/CE or equivalent experience
5+ years working on bringup, validation, or design of HSIOs (e.g., PCIE/CXL, DDR, USB, UCIE)
Experience with HSIOs like PCIE or chip-to-chip interconnects, including understanding of process/temp/voltage sensitivity
Understanding of HSIO power management techniques
Understanding of firmware/driver structures and their interaction with hardware
Strong EE fundamentals, including computer architecture, high-speed interfaces, timing analysis, process variations, statistical error rates, and power analysis
Ability to work collaboratively in a team environment

Responsibilities

Silicon bringup, validation, and debug of NVIDIA’s multiple HSIOs, including NVLink and NVLink-C2C
Profiling HSIO workloads on key use cases, such as MLPerf on single and multi-node Datacenter products
Investigate HSIO power features, datapath analysis, and electrical for the next generation of products
Power feature characterization and tuning for key use cases, balancing performance and power

Skills

Key technologies and capabilities for this role

PCIeCXLDDRUSBUCIENVLinkNVLink-C2CSilicon BringupValidationDebugPower ManagementFirmwareDriverTiming AnalysisComputer ArchitecturePower Analysis

Questions & Answers

Common questions about this position

What is the salary range for the High-Speed IO Engineer position?

The base salary range is $136,000 - $264,500 USD.

Is this a remote, hybrid, or on-site role?

This is a hybrid position.

What are the key skills and experience required for this role?

Candidates need 5+ years in bringup, validation, or design of HSIOs like PCIE/CXL, DDR, USB, UCIE; strong knowledge of HSIOs including process/temp/voltage sensitivity and power management; understanding of firmware/driver structures; and strong EE fundamentals in areas like computer architecture, high-speed interfaces, timing analysis, and power analysis.

What benefits does NVIDIA offer for this position?

NVIDIA offers competitive salaries, a generous benefits package, and equity opportunities.

How should I apply for this High-Speed IO Engineer role at NVIDIA?

Apply through the NVIDIA career website, as they accept applications on an ongoing basis.

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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