Research Engineer - Mobile Co-design

Meta Reality Labs Research (RLR) is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At our lab, we aspire to a vision of social VR and AR, where people can interact with each other across distances in a way that is indistinguishable from in-person interactions. Meta RLR is looking for a Research Engineer to accelerate the progression to authentic social presence in Virtual Reality and Augmented Reality. In this role, you will be a member of the Mobile Compute team which has been committed to comprehensive mobile optimization that delivers end-to-end telepresence with high energy efficiency. The mobile optimization including but not limited to neural network architecture innovation, model compression, and low bits inference for dedicated computing hardware directly guides performance and deployment of telepresence solutions on future Meta ARVR products and push forward the State-of-the-art on mobile efficiency.

You will be working on designing novel model architecture with high hardware efficiency, standardizing optimization algorithms into mobile compiler and runtime engine, and creating tools/flow to accelerate telepresence deployment on the current & next generation of ARVR hardware platforms. You will work closely with AI and telepresence researchers to analyze telepresence algorithms (which are mixed operators of computer vision, deep learning models, and graphic rendering processing) and apply co-design methodologies from the early phase. You will also partner with software engineering teams to validate optimization solutions on ARVR hardware which has off-the-shelf SoCs and/or in-house neural network accelerators. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing product-driven computing solutions and will help in driving next generation hardware software co-design for AI domain specific problems.Research Engineer - Mobile Co-design Responsibilities

• Research and development of novel optimization algorithms/techniques for achieving high energy efficiency on mobile computing platforms
• Development of optimization flow for telepresence models with native toolchain integration to accelerate compilation and deployment on the next generation of ARVR platforms
• Collaborate with other research teams to analyze telepresence algorithms and co-design optimized algorithms/models to balance performance between distortion and latency
• Collaborate with the productization team to guide product architecture design and accelerate the next generation of telepresence solutions with both off-the-shelf SoCs and inhouse accelerators

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• First-author publications at peer-reviewed AI conferences (e.g. DAC, ISCA, NeurIPS, CVPR, ICML, and ICLR)
• Proven C/C++ and Python programming skills
• Knowledge of GPU, CPU, DSP, or AI hardware accelerator architectures with an understanding of system performance evaluations from such as end2end latency, memory bandwidth, I/O access, compute utilization analysis with necessary tooling development
• Experience on optimizing image processing and computer vision applications for edge devices with optimizations such as vectorization, parallelization, and hardware specific SIMD and deep learning algorithms with techniques such as neural networks architecture search, pruning, and low bits quantization
• Experience with optimization on Variational Auto-Encoder, Transformers, Graph CNN, and stable diffusion models
• Familiar with frameworks like OpenCV, PyTorch, TensorFlow Lite, and ONNX

Preferred Qualifications

• PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 1+ years practical experience
• Familiar with embedded systems, Linux OS and driver development, and basic knowledge on Android application development
• Experience with custom compiler design that’s similar to MLIR and TVM
• Experience on graphics programming and 3D rendering with OpenGL/Vulkan is a plus
• Experience with algorithms optimization for Qualcomm SoCs is a plus

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.
US$70.67/hour to US$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 Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.