英伟达招聘实习生啦！文末有投递方式哦~
The NVIDIA Compute Architecture group is looking for a world class programmer with passion for GPU-accelerated deep learning to develop the core infrastructure for modeling and analysis of GPU workloads. A key part of NVIDIA’s strength is our proprietary internal tools for the visualization and analysis of forward looking applications. We are continuously pushing the envelope and building the next generation of tools to enhance future architectures. This work will enable deeper insights that directly impact the design of the world’s most powerful chips.
What you’ll be doing:
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Identify infrastructure needs for the Deep Learning architecture analysis process.
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Develop tools and infrastructure to improve the daily workflows in the design and analysis of large scale computing chips.
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Work closely with other infrastructure groups.
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Administer a diverse compute cluster containing production and pre-production GPUs.
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Influence best practices for software development and testing of tools and workflows.
What we need to see:
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MS or PhD in relevant discipline (CS, EE, Math).
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Previous experience deploying and administrating Linux clusters
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Strong programming skills in Python, Perl, C, C++
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Experience working with deep learning frameworks like Caffe, TensorFlow and Torch
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Computer architecture background
Ways To Stand Out From The Crowd:
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Familiarity with GPU computing (CUDA, OpenCL, MPI, OpenMP)
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Full stack developer experience
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Experience with modern DevOps tools (Docker, SLURM, SaltStack or simil
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ar).
其他职位
上海：
软件架构/研发
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Hardware Arch Intern
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熟悉C/C++，有CPU软件开发经验优先
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至少3个月及以上，至少3天/周
软件/游戏测试
Software Intern-CUDA Automation Triage Software Quality Assurance Engineer
Software Game Testing Intern
Software Intern-Performance Engineer（VR and FCAT/Latency）
对graphics感兴趣，对组装电脑感兴趣，有编程经验者优先，英文阅读无障碍，热爱游戏
至少6个月及以上，至少3天/周
Software Intern-Content Software Testing Engineer
Software Intern-Game Test Engineer
Software Intern-Game QA Engineer
