Reality Labs focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon, software and system-level solutions. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our custom silicon and software will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are growing our Systems Engineering team within RL Silicon AI and are seeking engineers who will work with a world-class group of researchers and engineers to implement and contribute to the development, enablement, and optimization of machine learning accelerator hardware-software verticals in state-of-the-art SoCs.
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Machine Learning Systems Engineer Responsibilities:
- Work closely with compiler, firmware and system architects to enable new ML use cases.
- Work closely with compiler and ML researchers to enhance Machine learning acceleration capabilities.
- Assist with performance/power analysis of machine learning models.
- Develop software tooling / methodologies for SW enablement/optimization on ML accelerators.
- Work with FPGA engineers and firmware teams to perform early prototyping.
- Work with Post-Silicon Validation engineers to enable Silicon / form factor workload demonstrations.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5+ years of experience as a ML Systems Engineer (or similar role)
- Experience in hardware-software co-design and performance modeling.
- Experience with Machine learning models, algorithms or accelerator architecture.
- Experience with at least 1 procedural programming language (C, C++, Python etc).
- Familiarity with mobile SoC hardware architecture and system-level performance optimization.
- Experience building and shipping software that encompass an end-to-end experience within a well-scoped domain.
- Experience in SOC bring-up and prototyping.
- Experience with Machine learning, graphics or computer vision accelerator.
- Experience with mobile / wearable form factor devices and development environments (Android).
- Master's degree in EE/CS or equivalent experience.
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.
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