Meta AR/VR Job | Software Engineer, Systems ML - Edge Inference
Job（岗位）: Software Engineer, Systems ML - Edge Inference
Type（岗位类型）: Artificial Intelligence +2 more
Citys（岗位城市）: Burlingame, CA
Date（发布日期）: 2024-9-25
Summary（岗位介绍）
On-Device AI is a critical part of virtual and augmented reality systems. In this role, you will work inside Meta Reality Labs to enable and optimize a wide range of state-of-the-art deep learning models (including Vision, Speech, Codec Avatars, LLMs, Gen AI, etc.), on a variety of VR & AR devices (including VR headsets such as Meta Quest, Smartglasses like Ray-Ban Meta, EMG Wristbands, and other upcoming products).
This role is focused on efficient ML inference via use of edge hardware accelerators, including NPUs and DSPs. The position requires a combination of expertise in machine learning and software engineering.
Qualifications（岗位要求）
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
3+ years of experience in ML framework development or accelerating deep learning models on hardware architectures.
Experience developing AI-System infrastructure or AI algorithms in C/C++.
Description（岗位职责）
Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.
Profile models to analyze performance and power efficiency of deep learning inference workloads.
Partner with teams across Reality Labs to ship models in production devices Map ML graphs to machine learning accelerator hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.
Design effective compiler passes and optimizations.
Implement ML operators using low-level instructions & compiler intrinsics.
Additional Requirements（额外要求）
Masters or PhD in Computer Science, Computer Engineering.
5+ years of experience in ML framework development or accelerating deep learning models on hardware architectures.
Experience with PyTorch.
Experience with compiler back-ends.
Experience with SIMD vector programming.
Experience with NPUs, DSPs, and ML accelerators.
