Q1 财报不错，所以又来招人啦。这次继续是 NV Compute Arch 组的招聘，算是我司核心中的核心了。需要深度学习和 C/C++ 背景。实际工作内容和待遇网上都能搜得到，就不展开了。
Deep Learning Performance Architect
What you’ll be doing:
- Develop production-quality software that ships as part of NVIDIA's AI software stack.
- Analyze the performance of important workloads, tune our current software, and propose improvements for future software.
- Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like autonomous driving, NLP, computer vision, and recommender systems.
- Adapt to the constantly evolving AI industry by being agile and excited to contribute across the codebase, including API design, software architecture, testing, and GPU kernel development.
- Mentoring junior engineers on the team.
What we need to see:
- M.S. Degree in Computer Science, Electrical Engineering (or similar), or equivalent experience.
- 2+ years of relevant work or research experience.
- Strong programming skills in C/C++ development and familiarity with Python.
- Experience designing high-level software architecture.
- Excellent problem-solving skills, including applications of algorithms and data structures.
- Experience with performance analysis, profiling, and code optimization.
- Basic understanding of machine learning.
- Ability to work independently, define project goals and scope, and lead your own development effort.
Ways to stand out from the crowd:
- GPU programming and optimization expertise (e.g. CUDA or OpenCL).
- Practical experience with machine learning, especially deep learning.
- Experience with data science, statistical analysis, and visualization.
- Previous work on large complex codebases with many other developers, especially libraries, compilers, or system software.
- Track record of identifying new technologies and incorporating them into software development flows.
- Excellent understanding of linear algebra and calculus.
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