Software Engineer, Systems ML

Software Engineer, Systems ML
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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. The position requires a combination of expertise in machine learning and software engineering.
Software Engineer, Systems ML 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.
  • Master degree in Computer Science, Computer Engineering
  • 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
  • PhD degree in Computer Science, Computer Engineering
  • 5+ years of experience in ML framework development or accelerating deep learning models on hardware architectures
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
  • Experience with ML frameworks, especially PyTorch.
  • Experience with ML performance optimization.
  • Experience with compiler back-ends
  • Experience with DSPs or SIMD vector programming
  • Experience with NPUs and ML accelerators
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
$177,008/year to $251,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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