HPC Systems R&D Engineer 89512

2 days ago

Chennai, Tamil Nadu, India Cephas Consultancy Services Full time ₹ 9,00,000 - ₹ 12,00,000 per year
Job title – HPC Systems R&D Engineer Our AI Advanced Computing Labs is looking for an extraordinary HPC System R&D Engineer to join its team to develop system-level HPC technologies that would form the foundation of next-generation clusters used in our tools that leverage AI to push the boundaries of process control for conductor manufacturing. The technologies would be developed and demonstrated on on-prem clusters that serve as testbeds for our next-generation tools.  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.
 Your Expected Background
  • 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 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

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