Senior Software Engineer: Numerical and High Performance Computing
OpenTeamsFull Time
Senior (5 to 8 years)
Germany
Key technologies and capabilities for this role
Common questions about this position
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This information is not specified in the job description.
Candidates need a PhD or equivalent, 15+ years of experience, expertise in HPC, parallel programming models like MPI and SHMEM, communication runtimes such as NCCL or UCX, GPU architecture and CUDA, high-performance networking including InfiniBand and Ethernet, and programming fluency in C or C++.
NVIDIA is known for its forward-thinking and dedicated workforce, seeking creative and autonomous individuals to join the team.
Standing out involves being a recognized industry leader in HPC/DL communications with patents, publications, conference presentations, contributions to industry standards like MPI or OpenSHMEM, and open-source software like PyTorch or UCX.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.