
Pioneering accelerated computing and AI
Client Platform Architect
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:
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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.
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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.
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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.
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Analyze and compare OEM reference build implementations, evaluating architectural choices, differentiation strategies, and cost implications to inform platform decisions and discussions involving multiple sysfunctions.
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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:
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Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or a Bachelor’s degree with equivalent practical experience.
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10+ years of experience in client systems or platform engineering, with hands‑on contributions to system‑level architectural decisions.
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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.
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Proven experience working with ODM/OEM partners on client PC platforms, driving technical alignment on roadmap, features, and cost, and influencing key decisions.
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Strong communication and documentation skills, able to turn complex system concepts into clear proposals, specifications, and executive‑ready summaries.
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Familiarity analyzing data from customers and use-case scenarios, as well as industry-standard benchmarks, to guide internal data collection and technical discussions.
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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
PublicA 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



