Senior Math Libraries Engineer, CPU and GPU Optimization

Requirements:

• PhD or MSc degree in Computer Science, Applied Math, or related field preferred
• 12+ years of experience in designing and developing software for high-performance computing and/or AI
• Advanced C++ skills, including modern design paradigms
• Parallel programming experience with CUDA, OpenCL, or vector programming on CPU
• Strong collaboration, communication, and documentation habits
• Experience with ARM, RISC-V, and/or x86_64 CPU architectures

Nice to Haves:

• Strong background in numerical methods
• Programming skills with Python and modern automation setups
• Background in cross-compilation and setting up CPU/GPU/accelerator toolchains
• Experience with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS
• Experience with scientific and deep learning libraries and frameworks

What you'll be doing:

• Design modern, flexible, and easy-to-use APIs and kernels for math libraries
• Work closely with internal and external partners to understand use cases and requirements
• Deliver timely math libraries releases
• Continuously survey current trends in software systems

Perks and Benefits:

• Competitive salaries
• Generous benefits package
• Considered one of the technology world’s most desirable employers
• Exclusive engineering teams rapidly growing
• Forward-thinking and hardworking colleagues