招聘

Senior Hardware Systems Engineer - LPU Platform Pathfinding
US, CA, Santa Clara
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On-site
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Full-time
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1mo ago
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Are you ready to push the boundaries of innovation and engineering? At NVIDIA, we lead the world in accelerated computing—driving progress in AI, graphics, and high‑performance systems.
As a Senior Hardware Systems Engineer, you will help build next‑generation LPU (Language Processing Unit) platforms that support the most demanding AI workloads. You’ll work with teams across the company to shape system architecture, solve complex challenges, and strengthen the hardware foundation for large‑scale AI. We are committed to an inclusive, collaborative environment where people grow, contribute, and make an impact every day!
What You Will Be Doing:
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Drive hardware pathfinding for LPU platforms by leading early investigations into new architectures for power delivery, cooling, mechanical design, and high‑bandwidth interconnects.
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Guide system‑level technical decisions that influence NVIDIA’s LPU roadmap.
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Work with silicon, architecture, data center, cloud, product, and manufacturing teams to deliver complete, production‑ready systems.
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Lead full‑stack system debug, addressing electrical, mechanical, thermal, firmware, OS, and application behaviors.
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Support program execution, tracking issues, driving root‑cause analysis, and ensuring timely resolution.
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Own interconnect and cooling architecture, including optical links, backplanes, power distribution, and cluster‑level cooling systems.
What We Need to See:
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Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience).
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8+ years of proven experience leading platform, system, or hardware engineering efforts from concept through delivery.
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Broad system knowledge in electrical/power design, mechanical/thermal engineering, firmware integration, and performance tuning.
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Experience in pathfinding, evaluating early designs and maturing them into real solutions.
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Strong debugging and problem‑solving skills across hardware and software boundaries.
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Clear communication and the ability to align diverse engineering groups.
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Exposure to large‑scale AI platforms such as LPU, GPU, TPU, or custom accelerators.
Ways to Stand Out from the Crowd:
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Direct experience designing or validating LPU, GPU, or other accelerator systems, especially at rack or cluster scale.
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Ownership of first‑of‑kind system designs, such as new power networks, liquid cooling, or optical interconnects.
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Leadership in pathfinding or advanced development programs that shaped product direction.
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Familiarity with hyperscale data center infrastructure, including cooling methods, facility power, and interconnect fabrics.
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Strength in early bring‑up, diagnostics, signal integrity, and rapid prototyping as well as participation in industry standards efforts or cross‑company technical initiatives.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 20, 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
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
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73个数据点
Junior/L3
Mid/L4
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
面试经验
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
新闻动态
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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