招聘
必备技能
C
C++
Memory Architecture
Performance Analysis
Debugging
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
NVIDIA is seeking a motivated memory subsystem architects with great analytical skills and a deep understanding of system architecture and performance, to work with a team to model, debug and analyze performance issues in the Memory subsystem.
What you will be doing:
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Contribute to advancing GPU Architecture and Simulators, GPU testing infrastructure, metrics, and/or compilers.
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Performance modeling and simulation of features to improve memory system efficiency.
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Develop test plans and testing infrastructure.
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Debug tests on architecture simulators.
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Performance analysis/ bottleneck analysis of sophisticated, Memory subsystem units and features.
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Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system.
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Working with various multi functional teams like ASIC design and verification..
What we need to see:
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Master/Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering or related field (or equivalent experience).
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3+ years experience dealing with system level architecture and performance issues.
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Strong programming ability in C, C++. Exposure to Verilog/System Verilog is a strong plus.
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Good understanding of Memory subsystem architecture, caches , MMU, memory controller, NOC / interconnects, computer architecture.
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Debugging and analysis, including use of RTL dumps to debug failures.
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Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus.
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Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team.
Ways to stand out from the crowd:
- Knowledge of the memory system, caching, interconnects, DRAM controller, Memory management unit, performance modeling and analysis.
Widely considered to be one of the technology world’s most desirable employers. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
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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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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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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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