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Software Engineer, Systems ML - Edge Inference
MetaBurlingame, United Statesfull_timeVerifiedPosted 27 Jan 2025
About the role
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.Software Engineer, Systems ML - Edge Inference Responsibilities
70,67 $/hour to 208.000 $/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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.Software Engineer, Systems ML - Edge Inference Responsibilities
- 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.
- 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++.
- 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.
70,67 $/hour to 208.000 $/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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