Senior Libraries Engineer – AI and HPC
加入我们的跨学科团队，帮助建立和改进 GPU 和 CPU 加速数据处理软件库.DALI 或 nvImageCodec 等项目用于各种处理工作流程并支持 NVIDIA 的愿景和增长。从提供人工智能，数据分析，图像处理，计算机视觉以及全球领先商业和学术组织的科学模拟开始。在这个角色中，你将设计，开发和优化开拓性算法。理想的候选人将拥有加快计算的经验和在各种计算领域推进最新技术的热情。如果这听起来很有趣，我们会非常喜欢见到你！你要做什么：· 用现代工具和语言开发可扩展的图书馆软件，用于各种数值方法。· 调整，优化和对不同架构进行算法性能测量。· 与领导团队和其他内部及外部合作伙伴密切合作，了解功能和性能要求并为图书馆技术路线图做出贡献。· 为与你合作的图书店工程师提供技术领导和指导。·找到改善用户体验和图书馆性能的机会。我们需要看到的是：· 计算机科学，应用数学或相关科学或工程学领域的博士学位或士学位优先 （或相当经验）. · 5年以上在现代计算平台上开发，调试和优化高性能平行数值应用程序，使用 CUDA 加速 GPU. · C/C++编程和软件开发技能。· 在领导和完成软件开发项目方面有经验证明。·强大的协作，沟通和文档习惯。脱而出群众的方式：· 对 CPU 和/或 GPU 硬件架构的良好知识，· 经验与 CI/CD 系统和项目管理工具如 JIRA 等软件开发实践，· 在分布式组织工作的经验，· 调试，配置资料以及测试精度和性能技能，· Python 流利性.NVIDIA 被广泛认为是技术世界最受欢迎的雇主之一。我们有世界上一些最前进的思考和勤奋的人为我们工作。如果你是创造性的和自主化的，我们希望听到你！NVIDIA 致力于促进多样化的工作环境，并感到自豪成为一个平等的公司。
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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