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

Company Historically Provides H1B Sponsorship

Bengaluru, Karnataka, India

Category
QA & Testing
Performance 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 analyzers)
  • 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 enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to 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.
  • Backing Together AI expands NVIDIA's reach in AI acceleration and open-source models.
  • Investment in ClustroAI aligns with NVIDIA's strategy for edge AI market expansion.

What critics are saying

  • Integration challenges with Gretel may disrupt operations and delay product development.
  • Competitors like Lambda threaten NVIDIA's market share in AI cloud services.
  • Emerging startups in edge AI could challenge NVIDIA's market position.

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 cloud services, like CloudXR, offer scalable AI and machine learning solutions.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
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