Machine Learning / AI Pro Workflow Engineer

Job Overview

Key Qualifications

5-10 years experience

Experience with one or more deep learning frameworks such as Tensorflow, or PyTorch.

Performance analysis and debug experience from application software to OS and driver SW to HW

Experience implementing Machine Learning capability within a professional content creation tool or context such as Adobe Premiere Pro, Foundry Nuke, Autodesk Maya/Flame/Arnold, SideFX Houdini, or similar in-house toolchain.

Knowledge of operating system fundamentals, graphics driver software and software development

Knowledge of one or more of OpenCL, CUDA, SysCL, Metal

Bonus qualifications

Experience with System & CPU & GPU performance analysis tools (i.e. VTune, Windows Performance Analyzer, Nsight, GPA, etc)

Knowledge of CoreML

System and Computer architecture knowledge, including multi-core/multi-threading & SIMD technologies

Familiarity with modern Gfx API’s: OpenGL, DX9+, Metal, Vulkan

Knowledge of VFX reference platform and associated projects/technologies

Description

This will include, but is not limited to, the evaluation of system and device level characteristics from low level device metrics (e.g. throughput, latency, caching/paging behaviors, power/efficiency, etc.) in the presence of operating systems, compiler, power management, and software interactions that ultimately determine the user’s experience on a Mac. The architect will identify performance bottlenecks, inefficiencies, and architectural improvement areas in hardware and software, and work with internal teams and external software vendors on addressing and taking advantage of them. You are passionate and have experience developing or working on Machine Learning use cases with in the context of professional content creation on such tools as Maya, Houdini, Nuke, Premiere Pro, Media Composer, Pro tools, Cubase or similar in house tools in production contexts is desired.The job will entail close interaction with third party software development as well as hardware/silicon vendors. The architect will be responsible for clear and concise reporting of performance, efficiency, architecture, micro-architecture, and implementation analysis of both hardware and software to engineering teams as well as upper management.

Education & Experience

MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, similar degrees or commensurate experience

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