Full-Time

High Speed IO Validation Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

No salary listed

Mid, Senior

Company Historically Provides H1B Sponsorship

Bengaluru, Karnataka, India

Hybrid position requiring some in-office days.

Category
QA & Testing
Quality Assurance
Required Skills
Python
Perl
Oscilloscope
Linux/Unix
Requirements
  • BS or MS degree in EE/CE or equivalent experience
  • Minimum 3 years working in post-silicon bring up, IO validation, and/or power optimizations on High Speed IOs for datacenter and Automotive ecosystems
  • Experience with HSIOs like PCIE or USB including understanding of process/temp/voltage sensitivity on BER
  • Experience with system level and interconnect power management optimizations
  • Background of electrical tuning/performance/challenges of HSIOs
  • Understanding of firmware/driver structures and their interaction with HW
  • Hands-on validation lab experience with silicon bring-up, lab debug and lab tools (oscilloscopes, multi-meters, logic analysers)
  • Strong EE fundamentals, knowledgeable in computer architecture, high speed interfaces, timing analysis, process variations, statistical error rates and power analysis
  • Excellent problem solving, teamwork, and interpersonal skills
  • Background with automation scripting in languages such as Perl, Python, tcl
  • Experience with Linux
Responsibilities
  • Develop strategies and infrastructure for next generation HSIO (PCIe, Coherency Interfaces) bring up, validation and product integration with a deep understanding of IO design, specs, use case and topologies
  • Ensure interoperability with connected devices and system components in complex interconnect topologies
  • Ready to deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams
  • Work on system level power strategies to continue pushing performance in power constrained systems
  • Work closely and proactively with other engineering teams such as system architects, mixed signal and design, DGX, software/firmware, HW/SW QA, operations and AE teams to drive design, development, debug and release of next generations products.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which cater to a wide range of applications such as AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that meet the needs of gamers, researchers, and enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Gretel enhances AI training with robust synthetic data capabilities.
  • Integration of Augtera Networks boosts NVIDIA's data center networking efficiency.
  • Backing ClustroAI aligns with the trend of local device AI processing.

What critics are saying

  • Increased competition from AI cloud platforms like Lambda and Together AI.
  • Potential integration challenges with Gretel affecting operational efficiency.
  • Investment in ClustroAI may cannibalize NVIDIA's cloud-based AI solutions.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin creation.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
TechCrunch
Mar 19th, 2025
Nvidia reportedly acquires synthetic data startup Gretel | TechCrunch

Nvidia has reportedly acquired Gretel, a San Diego-based startup that's developed a platform to generate synthetic AI training data. Terms of the

Data Center Dynamics
Mar 4th, 2025
Nvidia quietly acquires AIOps firm Augtera Networks

GPU giant rolls networking monitoring firm into Spectrum-X portfolio

Business Wire
Feb 21st, 2025
Lambda Raises $480M to Expand AI Cloud Platform

Lambda, the AI Developer Cloud, today announced it has raised a $480 million Series D, bringing the total equity capital raised to date to $863 millio

PR Newswire
Feb 20th, 2025
Together AI Secures $305M Series B Funding

Together AI announced a $305 million Series B funding round led by General Catalyst and Prosperity7, valuing the company at $3.3 billion. The investment will enhance its AI Acceleration Cloud, focusing on open source models and NVIDIA Blackwell GPU deployment. Together AI supports over 450,000 developers and partners with major firms like Salesforce and Zoom. The platform offers enterprise-grade AI solutions with advanced infrastructure and research innovations for improved efficiency and cost-effectiveness.

CoinCentral
Feb 19th, 2025
NVIDIA-Backed Edge AI Startup ClustroAI Raises $12M to Bring AI Processing to Local Devices - CoinCentral

San Francisco-based ClustroAI raised $12M in Series A funding to advance its edge AI technology that enables local device AI processing without cloud computing