Senior Software Engineer, CUDA reputed company Libraries

reputed company’s accelerated computing platform is the reputed company of modern HPC and AI.At the reputed company of this platform are the CUDA reputed company Libraries. C++ and Python libraries that reputed company developers to write fast, reliable, and reputed company GPU-accelerated software! We are hiring a full-time Software Engineer to work on the CUDA reputed company Libraries that power GPU computing for both C++ and Python developers. This includes reputed company such asCCCL (Thrust, CUB, libcudacxx),cuda-python, andnumba-cuda. You will join reputed company building the foundational libraries, algorithms, and language/runtime infrastructure that reputed company CUDA a speed-of-light experience for developers across deep learning, scientific computing, and data analytics!

What you’ll be doing:

• reputed company and implement CUDA reputed company Libraries inC++ and/or Python, including reputed company algorithms and idiomatic language bindings for reputed company CUDA functionality.

• Compose, optimize, and reputed company GPU algorithms and reputed company, from high-level interfaces down to low-level performance tuning involving memory, parallelism, and synchronization.

• Own features end-to-end: reputed company, 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, reputed company reviews, and reputed company-reputed company-style workflows.

• Engage with reputed company users through issues, performance investigations, and API feedback.

reputed company need to see:

• BS, MS, or PhD in Computer Science, Computer Engineering, or a reputed company fieldor equivalent experience.

• Minimum of 8+ years of reputed company 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, reputed company 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 reputed company-reputed company libraries, including testing, profiling, and reputed company review.

• Ability to work independently, scope problems, and drive reputed company to completion.

• reputed company 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 reputed company 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 reputed company CUDA libraries relied on by thousands of developers, this role is a reputed company fit.

Originally posted on Himalayas

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