Engineer, Data Science

Job Description/Preferred Qualifications

Your Day-to-day Roles

• Analyse existing software solutions for training and deployment and identify limitations.

• Design, develop, test, and deploy software solutions that addresses the above limitations and enable deployment in a heterogenous cluster.

• Collaborate with a global team in developing such solutions.

Minimum Qualifications

• Bachelors degree in engineering with 2-5 years experience or Masters degree holders in engineering with 1-3 year experience in the field of data science; candidates with less experience may be considered if they have a remarkable track record in data science and infrastructure development.

• Strong programmer skills with background in one or more of the following languages: Python, Java, C++, C

• Proficient scripting skills in Python, Bash, or similar.

• Good understanding of operating systems, distributed systems, and high-performance applications.

• Working knowledge of Machine Learning/ AI.

• Go-getter attitude with curiosity to learn new advancements in the field of data science.

Things to Make us go Wow!

• Active work in AI frameworks like TensorFlow, PyTorch, ONNX.

• Hands-on experience working with container infrastructure like Docker or Kubernetes.

• Background in modern programming languages with RUST.

• Experience with building open-source operating systems and software stacks.

• Experience with writing performance-sensitive python programs using frameworks like Triton, polars, etc.

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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