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高性能计算中间件开发工程师

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

线下

截止日期

1月10日

福利
Equity,Benefits

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岗位摘要

Senior HPC software engineer responsible for designing and implementing high-performance communicati

岗位职责

We are now looking for a senior HPC software engineer.
As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new protocols and algorithms that enable the best performance possible on Nvidia networked supercomputers and datacenters.
This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design.
What you'll be doing:
The team is responsible for developing high performance communication frameworks and applications running in production on the world’s largest supercomputers and datacenters.
The work environment is dynamic and challenging;
we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.
Our team works closely with networking chip design teams in co-designing new hardware features and software APIs.
What we need to see:
• 5 years’ experience of Programming in C/C
• 3 years’ experience in Linux environment and tools • Deep knowledge of Networking Protocols InfiniBand, Ethernet • Deep knowledge in computer architecture and operating systems • Experience in performance optimizations • MSc or equivalent experience in computer science / software engineering.
Ways to stand out from the crowd:
• You have positive attitude and work well with others.
• PhD or equivalent experience in CS/EE/Math/Physics • Knowledge in MPI and High-performance computing • Knowledge in
RDMA technology • Open Source Software Contributor For two decades, we have pioneered visual computing, the art and science of computer graphics.
With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research.
Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life.
NVIDIA is widely considered to be one of the technology world's most desirable companies to work for.
Are you creative and driven?
Do you love a challenge?
If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

申请条件

• 5 years’ experience of Programming in C/C++
• 3 years’ experience in Linux environment and tools
• Deep knowledge of Networking Protocols InfiniBand, Ethernet
• Deep knowledge in computer architecture and operating systems
• Experience in performance optimizations
• MSc or equivalent experience in

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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数据来源:NVIDIA

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