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

• 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.

Minimum Qualifications

• 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++.

Preferred Qualifications

• 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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. 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@fb.com. $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.