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职位NVIDIA

Senior GPU Memory Subsystem Architect

NVIDIA

Senior GPU Memory Subsystem Architect

NVIDIA

India, Bengaluru

·

On-site

·

Full-time

·

1mo ago

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:

  • Contribute to advancing GPU Architecture and Simulators, GPU testing infrastructure, metrics, and/or compilers.

  • Performance modeling and simulation of features to improve memory system efficiency.

  • Develop test plans and testing infrastructure.

  • Debug tests on architecture simulators.

  • Performance analysis/ bottleneck analysis of sophisticated, Memory subsystem units and features.

  • Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system.

  • Working with various multi functional teams like ASIC design and verification..

What we need to see:

  • Master/Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering or related field (or equivalent experience).

  • 3+ years experience dealing with system level architecture and performance issues.

  • Strong programming ability in C, C++. Exposure to Verilog/System Verilog is a strong plus.

  • Good understanding of Memory subsystem architecture, caches , MMU, memory controller, NOC / interconnects, computer architecture.

  • Debugging and analysis, including use of RTL dumps to debug failures.

  • Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus.

  • 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

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

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