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 applicationsGood 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++ conceptsStrong 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 PyTorchExperience 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 similarBe aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.