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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Client Platform Architect

职能全栈
级别中级
地点Taiwan, Taipei
方式现场办公
类型全职
发布1周前
立即申请

NVIDIA wants an individual system architect to represent the product team technically in client PC ODM and OEM engagements. The position works in close partnership with internal applications engineering teams and partners from multiple areas. This role helps drive alignment on requirements, tradeoffs, and system‑level decisions to deliver optimal end‑to‑end solutions for both NVIDIA and our partners.

What you'll be doing:

  • Serve as a technical representative of the product team in client PC ODM and OEM engagements, working closely with internal application engineers, customer engineering teams, and cross-functional collaborators to align BOM, system architecture, and product options, while offering informed recommendations on platform capability, cost, and roadmap considerations.

  • Contribute to client platform architecture during early concept definition and system-level build. Work closely with Platform and Silicon Architecture teams to develop architectural intent and guide NVIDIA and external ODM reference build direction.

  • Provide senior-level technical guidance during customer and NVIDIA reference build and form-factor build execution. Ensure architectural intent is fully implemented by aligning scope clearly, resolving issues, and handing off effectively to Product Management and downstream teams.

  • Analyze and compare OEM reference build implementations, evaluating architectural choices, differentiation strategies, and cost implications to inform platform decisions and discussions involving multiple sysfunctions.

  • Synthesize customer use cases, field feedback, and partner input into clear technical requirements and feature proposals, providing actionable feedback to product architecture, silicon architecture, and software teams to inform future platforms, reference builds, and supporting collateral.

What we need to see:

  • Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or a Bachelor’s degree with equivalent practical experience.

  • 10+ years of experience in client systems or platform engineering, with hands‑on contributions to system‑level architectural decisions.

  • Deep technical expertise in client PC platform analysis and technical synthesis, including evaluating architectural tradeoffs, system configurations, and reference builds to support cross‑functional decision‑making across Product, Platform, Silicon Architecture, and Software teams.

  • Proven experience working with ODM/OEM partners on client PC platforms, driving technical alignment on roadmap, features, and cost, and influencing key decisions.

  • Strong communication and documentation skills, able to turn complex system concepts into clear proposals, specifications, and executive‑ready summaries.

  • Familiarity analyzing data from customers and use-case scenarios, as well as industry-standard benchmarks, to guide internal data collection and technical discussions.

  • Comfortable engaging directly in lab environments when necessary, assisting with the setup and examination of new use-case models and reference build behaviors.

Ways to stand out from the crowd:

  • Demonstrated initiative and technical curiosity to independently investigate requirements, validate assumptions, and connect cross-functional inputs.

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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