高级软件工程师，CUDA核心库
Senior Software Engineer, CUDA Core Libraries
NVIDIA的加速计算平台是现代高性能计算（HPC）和人工智能（AI）的基础。该平台的核心是CUDA核心库。C++和Python库，使开发者能够编写快速、可靠且可扩展的GPU加速软件！我们正在招聘一名全职软件工程师，负责开发支持C++和Python开发者的CUDA核心库。这包括CCCL（Thrust、CUB、libcudacxx）、cuda-python和numba-cuda等项目。你将加入团队，构建使CUDA成为开发者在深度学习、科学计算和数据分析中极速体验的基础库、算法和语言/运行时基础设施！
你将负责：
- 在C++和/或Python中开发和实现CUDA核心库，包括并行算法和核心CUDA功能的惯用语言绑定。
- 设计、优化和演进GPU算法和API，从高层接口到底层性能调优，涉及内存、并行性和同步性。
- 全程负责功能：开发、实现、测试、基准测试、文档和长期维护。
- 提升整个技术栈的开发者体验：CI、测试、基准测试、打包、示例和文档。
- 与高级CUDA工程师合作进行设计评审、代码评审和开源风格的工作流程。
- 通过问题、性能调查和API反馈与真实用户互动。
我们需要看到：
- 计算机科学、计算机工程或相关领域的学士、硕士或博士学位，或同等经验。
- 至少8年以上相关开发经验。
- 精通C++、Python或两者，有系统级软件（性能、内存、并发、API设计）的实践经验。
- 对现代C++（模板、泛型、标准库）和/或Python库开发和打包有扎实的理解。
- 有并行或异构编程的实际经验（CUDA、OpenMP、GPU加速的Python或其他类似技术）。
- 有参与生产软件或开源库的经验，包括测试、分析和代码评审。
- 能够独立工作，界定问题，并推动项目完成。
- 清晰的书面沟通能力，用于技术设计和文档。
- 能够在大型多语言代码库（C++、Python、CMake、Pixi、CI系统）中自如导航。
脱颖而出的方式：
- 对CPU/GPU架构有深入理解
查看英文原文
NVIDIA’s accelerated computing platform is the foundation of modern HPC and AI.At the core of this platform are the CUDA Core Libraries. C++ and Python libraries that enable developers to write fast, reliable, and scalable GPU-accelerated software! We are hiring a full-time Software Engineer to work on the CUDA Core Libraries that power GPU computing for both C++ and Python developers. This includes projects such asCCCL (Thrust, CUB, libcudacxx),cuda-python, andnumba-cuda. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers across deep learning, scientific computing, and data analytics!
What you’ll be doing:
- Develop and implement CUDA Core Libraries inC++ and/or Python, including parallel algorithms and idiomatic language bindings for core CUDA functionality.
- Compose, optimize, and evolve GPU algorithms and APIs, from high-level interfaces down to low-level performance tuning involving memory, parallelism, and synchronization.
- Own features end-to-end: develop, implementation, testing, benchmarking, documentation, and long-term maintenance.
- Improve developer experience across the stack: CI, tests, benchmarks, packaging, examples, and docs.
- Collaborate with senior CUDA engineers in design reviews, code reviews, and open-source-style workflows.
- Engage with real users through issues, performance investigations, and API feedback.
What we need to see:
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related fieldor equivalent experience.
- Minimum of 8+ years of related development experience
- Strong programming skills inC++, Python, or both, with proven interest in systems-level software (performance, memory, concurrency, API design).
- Solid understanding of modern C++ (templates, generics, standard library) and/or Python library development and packaging.
- Practical experience withparallel or heterogeneous programming(CUDA, OpenMP, GPU-accelerated Python, or similar).
- Experience contributing to production software or open-source libraries, including testing, profiling, and code review.
- Ability to work independently, scope problems, and drive projects to completion.
- Clear written communication for technical design and documentation.
- Comfort navigating large, multi-language codebases (C++, Python, CMake, Pixi, CI systems).
Ways to stand out from the crowd:
- Strong understanding of CPU/GPU architecture and how hardware details affect performance.
- Hands-on experience withCUDA C++,CUDA Python,PyTorch,JAX,Numba,CuPy, or similar GPU-accelerated stacks.
- Familiarity withThrust,CUB,libcudacxx, or other modern C++/GPU libraries.
- Experience with compiler infrastructure or tooling (LLVM, Clang tooling, MLIR).
- Demonstrated interest in developer tools, library design, and making other developers faster.
If you care deeply about performance, enjoy working at the C++/Python boundary, and want to shape the core CUDA libraries relied on by thousands of developers, this role is a direct fit.
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