R&D Engineer, HPC Systems
R&D Engineer, HPC Systems
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Job Description
Company Overview
Group/Division
Job Description/Preferred Qualifications
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
We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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Employment Type
Full-Time
