招聘
必备技能
Python
Linux
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
NVIDIA’s Silicon Co-Design Group (SCG) team is seeking a versatile engineer to be part of a Silicon Hardware team. You will partner with silicon validation teams to capture, interpret, and refine bring‑up platform requirements, then drive alignment and reviews with the platform design team. In this role, you will shape validation platforms that support product lines spanning artificial intelligence, consumer graphics, self‑driving cars, and other cutting‑edge technologies.
What you will be doing:
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Based on understanding a product feature, determine the best manufacturing stage for testing GPU/CPU hardware features. This could be ATE, socketed or board-level system test, rack-level test, or pod/cluster-level test, as needed.
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Create new tests or test conditions based on an understanding of hardware features or learnings from customer returns or gaps in internal manufacturing stages.
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Perform or automate test runs, analyze and visualize data to ensure a high-quality test, and guide debug for yield or escape issues.
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Partner with test engineering and operations teams to implementing efficient manufacturable test solutions
What we need to see:
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MS with 3+ years or equivalent experience in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS), Systems Engineering, or a related field
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Rich experience at manufacturing and production test of chips, boards and systems.
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Background in creating new system tests or test conditions and good skills in Linux, Python, and Perl.
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Experience working with GPU/CPU system features and crafting test strategies.
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Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis and tools for data analysis and statistics.
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Excellent problem solving, collaborative and interpersonal skills
Ways to stand out from the crowd:
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Background in rack-level test development
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Experience in Post-Silicon validation, SW&HW feature development
Our team is at the forefront of innovation in silicon solutions, contributing to the development of groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
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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.
News
·
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.
News
·
NaNw ago
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.
News
·
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.
News
·
NaNw ago


