高级库工程师 – AI与高性能计算
Senior Libraries Engineer – AI and HPC
加入我们的跨学科团队，帮助构建和改进GPU和CPU加速的数据处理软件库。像DALI或nvImageCodec这样的项目被用于各种处理工作流，并支持NVIDIA的愿景和增长。
从为全球领先的商业和学术机构提供人工智能、数据分析、图像处理、计算机视觉和科学模拟的支撑。在此职位中，您将设计、开发和优化开创性的算法。理想的候选人应具备加速计算经验，并对推动各个计算领域的最先进技术充满热情。如果这听起来令人兴奋，我们期待与您见面！
您将负责：
- 使用现代工具和语言为各种数值方法开发可扩展的库软件。
- 在各种架构上对算法进行性能调优、优化和基准测试。
- 与领导团队及其他内部和外部合作伙伴紧密合作，了解功能和性能需求，并为库的技术路线图做出贡献。
- 为与您一起工作的库工程师提供技术领导力和指导。
- 寻找提升用户体验和库性能的机会。
我们希望看到：
- 计算科学、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）优先。
- 在现代计算平台上使用CUDA进行GPU加速开发、调试和优化高性能并行数值应用程序5年以上经验。
- 具备C/C++编程和软件开发技能。
- 有领导并完成软件开发项目的实际经验。
- 具备良好的协作、沟通和文档习惯。
脱颖而出的方式：
- 熟悉CPU和/或GPU硬件架构，
- 具有CI/CD系统和项目管理工具如JIRA等软件开发实践的经验，
- 具有在分布式组织中工作的经验，
- 具备准确性和性能的调试、分析和测试技能，
- 熟练使用Python。
NVIDIA被认为是科技界最受青睐的雇主之一。我们拥有一些世界上最富有远见和勤奋的人才。如果您富有创造力且自主，我们期待您的加入！
NVIDIA致力于营造多元化的工作环境，并自豪地成为平等就业机会的践行者。
查看英文原文
Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth.
Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you!
Whatyou’llbedoing:
- Developing scalable library software using modern tools and languages for various numerical method.
- Performance tuning, optimization, and benchmarking of algorithms on various architectures.
- Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
- Providing technical leadership and guidance to library engineers working with you.
- Find opportunities to improve user experience and library performance.
What we need to see:
- PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).
- 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.
- C/C++ programming and software development skills.
- Proven experience in leading and completing software development projects.
- Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
- Good knowledge of CPU and/or GPU hardware architecture,
- Experience with software development practices such as CI/CD systems and project management tools such as JIRA,
- Experience with working in a distributed organization,
- Debugging, profiling, and testing skills for accuracy and performance,
- Fluency with Python.
NVIDIA is 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. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse 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.
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 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.Originally posted on Himalayas