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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Principal Datacenter HSIO Engineer

职能工程
级别Staff+
地点United States, Canada
方式现场办公
类型全职
发布1个月前
立即申请

NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world’s best people, so we can achieve our highest aim: building a company that lets us do our life’s work, at the highest level of our craft. Join our new team building the next generation of datacenter infrastructure that powers the future of AI. We are seeking highly motivated technical experts to join our new organization leading datacenter product design.

What you'll be doing:

  • Drive end-to-end system architecture from silicon to rack level

  • Lead cross-domain optimization efforts involving power delivery, thermal design, signal integrity, and mechanical constraints

  • Develop innovative features at all levels (silicon/system) to help improve GPU performance

  • Collaborate with vendors and suppliers for interconnect (electrical/optical), power delivery, and memory solutions

  • Provide expertise and support to validation teams with planning and execution

  • Work with customers on an as-needed basis to help deliver products

What we need to see:

  • 15+ years of experience in a rigorous technical hardware role interfacing with systems (HW system architecture, PCB design, mixed signal design, hardware validation, system verification, signal integrity, etc)

  • Master's degree (or equivalent experience) in Electrical Engineering or related field

  • Deeply inquisitive and able to use core technical competencies to provide direction on system architecture

  • Ability to see big picture tradeoffs for product success

  • Motivation and ability to manage concurrent projects and priorities with tight deadlines in a multifaceted environment

  • Excellent communication skills required to work well with multi-functional teams (software, firmware, marketing, mixed signal, etc.)

  • Previous experience with L10/L11

  • Deep understanding of system level (L11) power architecture tradeoffs

  • Knowledge and experience with modern optical communications (pluggables, CPO)

  • Strong signal/power integrity background with hands on lab experience (Oscilloscope, TDR, VNA)

Ways to Stand Out from the crowd:

  • Experience with applied ML frameworks, successful applications of AI/ML to hardware problems

  • Understanding of electrical vs mechanical tradeoffs

  • Proficiency with CAD simulation tools

  • Ability to think outside the box!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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关于NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

10条评价

4.4

10条评价

工作生活平衡

2.8

薪酬

4.5

企业文化

4.2

职业发展

4.3

管理层

3.8

78%

推荐率

优点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

缺点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

薪资范围

79个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7份报告

$170,275

年薪总额

基本工资

$130,981

股票

-

奖金

-

$155,480

$234,166

面试评价

5条评价

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience