Summary:

　　Reality Labs Research (RL-R) brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of augmented and virtual reality. Software development is vital to empowering our scientific explorations and generating viable paths to the consumer products people will use for decades to come — products that will truly give people superpowers. At RL-R Codec Avatars, we aspire to a vision of social VR and AR where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions, with Codec Avatars that look like you and move like you. We're just getting started. You can help us make this dream a reality and accomplish your life’s best work here!In the Live Telepresence group, we focus on enabling immersive telepresence by leveraging Codec Avatars, and building the tools, frameworks, machine learning pipelines, and VR/AR applications, to help users experience Live Telepresence and empower researchers toward the generation of Codec Avatars.

　　Required Skills:

　　Software Engineer - Live Telepresence with Codec Avatars Responsibilities:

　　Analyze, evaluate, design, develop, integrate, debug and test real-time AR and VR software for realistic telepresence. Participate in design reviews and code reviews

　　Collaborate in a team environment across multiple scientific and engineering disciplines, making architectural trade-offs required to rapidly deliver software solutions

　　Work with research scientists and engineers to understand challenges in building state-of-the-art software systems

　　Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and work efficiently

　　Learn constantly, educate others, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving

　　Propose and implement reliable, maintainable, and scalable system-level software solutions to facilitate research activities

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

　　3+ years experience with modern C++ and/or Python

　　Experience developing APIs, SDKs and developer tools, or developing reliable multi-stage deep learning pipelines

　　Experience working independently and in highly dynamic environments

　　Preferred Qualifications:

　　Preferred Qualifications:

　　3+ years experience with C#, game engines such as Unity, or developing AR/VR applications

　　3+ years hands-on experience with PyTorch

　　Experiences in working with large-scale datasets, developing deep learning training frameworks, and developing PyTorch extensions in C++ or CUDA

　　Experience with software development and debugging on Windows, Linux, and Android

　　Experience developing, debugging, and shipping software products on large code bases that span platforms and tools

　　Experience in profiling software performance, including Machine Learning or Graphics workloads

　　Experience developing software for Machine Learning, Computer Graphics, Computer Vision, or Robotics applications

　　Experience with real-time communication, networking, and inter-process communication

　　Experience with real-time rendering with OpenGL/Vulkan and modern real-time computer graphics pipelines

　　Experience with parallel computing with GPU’s using CUDA

　　Strong understanding of machine learning, computer vision and 3D geometry concepts, with experience in developing and deploying computer vision applications

　　Experience developing and debugging in large cluster environments

　　Public Compensation:

　　$117,000/year to $173,000/year + bonus + equity + benefits

　　Industry: Internet

　　Equal Opportunity:

　　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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

　　Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].