高级数学库工程师 – AI 和 HPC 中的模拟
Senior Math Libraries Engineer – Emulation in AI and HPC
我们正在寻找软件工程师加入我们的数学库团队，负责AI和高性能计算内核生成，特别是针对不同精度的数学运算模拟。全球领先的商业和学术机构正在利用由GPU驱动的数据中心，革新人工智能、科学和工程模拟以及数据分析。这些技术的应用包括医疗健康、自然语言处理、虚拟现实、深度学习、自动驾驶汽车等无数领域。你知道吗？我们团队开发了加速GPU的数学库，使这一切成为可能？如果你对在数学运算中调整位和精度格式，并运用你的知识开发和优化算法以在全球范围内产生影响感到兴奋，那就加入我们的团队吧！
你将负责：
- 在GPU上规划、设计和实现高质量高性能的数值密集线性代数软件。
- 为与你一起工作的库工程师提供技术领导和反馈，有时还会指导实习生。
- 与产品管理及其他内部和外部客户紧密合作，了解功能和性能需求，并帮助定义库的技术路线图。
- 通过重新架构寻找提升库性能和减少代码维护负担的机会。
我们需要看到：
- 计算机科学、应用数学或相关科学或工程领域的博士学位或硕士学位（或同等经验）。
- 5年以上使用CUDA和C++设计、开发、测试、维护和优化生产软件的经验。
- 对GPU（优先）或CPU硬件架构有良好的了解。
- 对有限精度算术和线性代数的数值方法有扎实的基础。
- 优秀的团队合作、沟通和文档习惯。
脱颖而出的方式：
- 具有CUTLASS经验，或进行过如汇编语言等底层编程以进行性能优化，将是巨大优势。
- 熟悉脚本语言，最好是Python。
- 在全球分布式团队中工作的经验。
NVIDIA于1999年发明了GPU，推动了个人电脑游戏市场的发展，重新定义了现代计算机图形学，并革新了并行计算。最近，GPU深度学习点燃了现代人工智能——计算的新时代——GPU成为计算机、机器人和自动驾驶汽车的大脑，能够感知和理解世界。
查看英文原文
We are looking for software engineers to join our math libraries teams for AI and HPC kernel generation, specifically targeting emulation of math operations across different precisions. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated math libraries that makes all of this possible? If the idea of tinkering with bits and precision formats in math operations and applying your knowledge to develop and optimize algorithms to make an impact around world excite you, come and join our team!
What you will be doing:
- Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
- Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.
- Working closely with product management and other internal and external customers to understand feature and performance requirements and help define the technical roadmaps of libraries.
- Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
What we need to see:
- PhD or Master’s degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).
- 5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.
- Good knowledge of GPU (preferred) or CPU hardware architecture.
- Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra.
- Great teamwork, communication, and documentation habits.
Ways to stand out from the crowd:
- Experience with CUTLASS, or low level programming like assembly for performance optimization is a huge plus.
- A scripting language, preferably Python.
- Experience with working in a globally-distributed team.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.Originally posted on Himalayas