NVIDIA
Skills: Rust
We are seeking a Sr System Software Engineer to help us build out our scientific computing platform workflows on Cloud. This Cloud based scientific computing cloud platform enables Physics based Numerical Simulation Solvers, AI based Training, Inference and Visualization workflow for physical science and engineering problems.
Those applications include Weather prediction, Climate modeling, Industrial design and Digital twins simulation in various domains e.g Aerospace, Automotive, Sports, Renewable energy, Bio-medical and many more. Are you passionate about solving rewarding problems at scale? Do you enjoy crafting robust, critical services for compute and data intensive workload? If so, you may be a phenomenal fit for our team!
What you’ll be doing:
Design services and take ownership of underlying cloud infrastructure for physics informed and data driven scientific workflows Design novel algorithms and actively engage with operations to increase overall system performance, it spans across the stack e.g. deep understanding of application code e.g DL Framework, Numerical Solvers, Microservices, APIs and Heterogeneous accelerated computing with CPUs and GPUs. Design, Build, Deploy and Operate scalable I/O infrastructure for checkpointing, data loading, pre & post processing of data. Optimize compute, storage and network architecture specific to physics & simulation driven applications.
What we need to see:
BS/MS degree in Computer Science or related areas or equivalent experience. 10+ years experience working on building and operating distributed compute and data intensive platform as a service on cloud Proven skill in a compiled language (Go, Rust, C++ or otherwise). Strong foundational knowledge in Cloud Computing e.g “The Datacenter is a Computer” architecture, cloud security architecture, virtualization - CPU, Memory and IO, Resource pooling and elasticity. Proven skills in Distributed Systems & Parallel Processing e.g System model of distributed computation …truncated…
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