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What you’ll be doing:
Design and build innovative features for cloud native batch scheduler in both private and public cloud environments, enhancing functionality and performance.
Develop a cloud native batch scheduler that accelerates HPC and AI workloads using NVIDIA's advanced technologies in cloud environments, e.g. DPU, ConnectX and GPU/NVLink.
Take part in developing NVDIA state-of-the-art AI supercomputer.
Work closely with other teams on new products orfeatures/improvementsof existing products.
Support, maintain and document software functionality.
What we need to see:
BSc in Computer Science or equivalent program
8+ years of hands-on experience in software development, preferably with C, Python, Rust and Golang.
Wide hands-on experience with Kubernetes ecosystems development and programming
Experience with Jenkins, GitLab and/or GitHub
Deep understanding of batch scheduler, e.g. scheduling algorithm
Strong background in designing, implementing, and debugging sophisticated software
Highly motivated with strong interpersonal skills, ability to work successfully with multi-functional teams, developers, and architects
Coordinate effectively across organizational boundaries and geographies
Strong self-initiative, independence, and flexibility to a new technology
Ways to stand out from the crowd:
R&D background withVolcano/Kubernetes/Slurm
R&D background with Kubernetesoperators’/controllers’development
Experience with working on open-source projects
Understanding of HPC/AI systems and related technologies
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