Deep Learning Platform SW Developer

Job description

DESCRIPTION

At AWS, we are building the preferred platform for deep learning in the cloud. We are looking for a strong technical contributor to develop the industry-leading tool chain for deep learning inference.

A successful candidate will bring technical expertise in deep learning inference, optimizing compilers, and performance modeling, analysis, and optimization for one or more hardware platforms, and a proven ability to make consequential contributions to large open source projects.

This position presents a rare opportunity to have an industry-wide impact in a cutting-edge field. Your work will enable application developers in several domains -- from autonomous driving to hedge funds to healthcare -- develop innovative solutions using machine learning and deep learning capabilities quickly and easily.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Desired profile

BASIC QUALIFICATIONS

· Bachelor's in Math, Computer Science, Computer Engineering, or equivalent subject matter expertise in AI and deep learning

· Proven ability to design, develop, and deploy high-quality software in production as an individual contributor in an early-stage of product lifecycle

· Demonstrable experience running performance benchmarks, identifying performance bottlenecks, and driving optimizations in platform software (math libraries such as OpenBLAS and deep learning libraries such as TensorFlow)

· Expertise in C/C++, Java, or Python; compilers and optimization techniques; parallel programming and distributed systems; high performance systems including GPUs and other HW accelerators