HPC System R&D Engineer

Must-Haves :

Research background is a must

•Masters / PhD in Computer Science or related fields-

PhD + 4 yrs experience, M.Tech + 8 yrs experience bachelors

degree holders with relevant experience and extraordinary

track-record will also be considered.

C++ is a must High performance computing

•Deep understanding of operating systems, computer networks,

and high performance applications

•Good mental model of the architecture of a modern distributed

systems that is comprised of CPUs, GPUs, and accelerators.

•Experience with deployments of deep-learning frameworks

based on TensorFlow, and PyTorch on large-scale on-prem

or cloud infrastructures.

•Strong background in modern and advanced C++ concepts

•Strong Scripting Skills in Bash, Python, or similar.

Job stability - min 2 yrs in a company

Your Day-to-day Roles

•Expose limitations in existing solutions, based on clusters of CPUs & GPUs, to deploy AI-based solutions on on-prem & cloud infrastructures at scale.

•Develop distributed frameworks and system-level solutions that enable scaling out image processing & AI loads from single GPU to multi-node clusters with multiple GPUs.

•Install, benchmark, and evaluate pre-release hardware for early-stage evaluation and prototyping by identifying (or developing) relevant workloads.

Minimum Qualifications

•Masters / PhD in Computer Science or related fields; bachelors degree holders with relevant experience and extraordinary track-record will also be considered.

•Deep understanding of operating systems, computer networks, and high performance applications

•Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators.

•Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures.

•Strong background in modern and advanced C++ concepts

•Strong Scripting Skills in Bash, Python, or similar.

•Good communication.

Things to Make us go Wow!

•Experience in heterogenous programming languages like CUDA, Triton, etc.

•Experience with model development on DL frameworks such as TensorFlow, and PyTorch

•Experience with building open-source operating systems and software stack on pre-release hardware.

•Solid understanding of container infrastructure such as Docker or singularity, and Kubernetes.

•Active participation in C++ standards bodies or similar