HPC Systems RD Engineer 89512

• Expose limitations in existing solutions based on clusters of CPUs & GPUs to deploy AIbased solutions on onprem & cloud infrastructures at scale.
• Develop distributed frameworks and systemlevel solutions that enable scaling out image processing & AI loads from single GPU to multinode clusters with multiple GPUs.
• Install benchmark and evaluate prerelease hardware for earlystage evaluation and prototyping by identifying (or developing) relevant workloads.

• Masters / PhD in Computer Science or related fields; bachelors degree holders with relevant experience and extraordinary trackrecord 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 deeplearning frameworks based on TensorFlow and PyTorch on largescale onprem or cloud infrastructures.
• Strong background in modern and advanced C concepts
• Strong Scripting Skills in Bash Python or similar.
• Good communication.

• Experience with building opensource operating systems and software stack on prerelease hardware.
• Solid understanding of container infrastructure such as Docker or singularity and Kubernetes.
• Active participation in C standards bodies or similar

database systems,pytorch,computational physics,ai-based solutions,communication skills,deep-learning frameworks,operating systems,c++,bash,nosql,container infrastructure,computer networks,api development,java,image processing,python,azure devops,high performance applications,tensorflow,data structures,kubernetes,docker,sql,distributed frameworks,maintainable code,software development,technology,hpc system r&d,clean code,algorithms,system-level solutions,semiconductors,c#,problem solving,machine learning,efficient code,numerical simulations,data