Job Description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook Reality Labs Research (FRL-R) 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 are able to interact with each other across distances in a way that is indistinguishable from in-person interactions.Our lab is looking for a talented Postdoctoral Research Scientist to research on new hardware computing architecture for accelerating the progression to authentic social presence in virtual reality with hardware and software codesign. In our current pipeline, a multitude of sensing components, including image sensors, microphones, and inertial measurement units are installed on the headset prototypes in order to collect a rich suite of information that reflects the user's physical state, with an emphasis on modality synchronicity and latency minimization; this information is then processed by our state-of-the-art algorithms running on existing SoC platform or custom energy efficient silicon to allow for a computational representation of the user. Individuals in this role are expected to be recognized experts in identified research areas such as computer architecture, machine learning, and applied mathematics, particularly including areas such as neural network (NN) accelerator modeling and design, neural network architecture search (NAS), parallel computing, and compiler design. The ideal candidate will have a keen interest in producing creative silicon architecture to make authentic social presence more energy efficient while running at real-time. You will work in a dynamic cross-functional team including research scientists, silicon experts and software engineers, as well as platform design and quality evaluation experts. Strong communication and interpersonal skills are required. This postdoctoral position is for 24 months.

Responsibilities

• Lead research to advance the science and technology of computer architecture and hardware-software codesign
• Lead research that enables the best hardware efficiency for deep learning models
• Devise better accelerator architecture and build modeling tools for verification
• Design better NN quantization and hardware aware NAS algorithms
• Work towards long-term ambitious research goals, while identifying intermediate milestones
• Collaborate on research within the team
• Influence progress of relevant research communities by producing publications
  

Minimum Qualification

• Currently has, or is in the process of obtaining, a Ph.D. degree in Electrical Engineering, Computer Engineering, Computer science, or equivalent
• Interpersonal experience: cross-group and cross-culture collaboration
• Publications in accelerator design, machine learning, AI, NAS, NN quantization, or related technical fields
• Experience in one or more of the following areas: Deep Learning, AI Infrastructure, HW/SW Co-Design, Machine Learning Accelerators, High Performance Computing, Machine Learning Compilers, GPU Architecture, Machine Learning Frameworks, On-Device Optimization, or artificial intelligence
• Experience in solving architecture modeling problems using AI/ML approaches
• Experience in theoretical and empirical research for addressing research problems
• Experience in communicating research for public audiences of peers
• Knowledge in advanced programming languages, such as C/C++ and Python
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  
  

Preferred Qualification

• 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on heterogeneous computing research for AI acceleration
• Experience in driving original scholarship in collaboration with a team
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or peer-reviewed AI conferences such as DAC, ISSCC, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL
• Experience with accelerator modeling/design and high level synthesis (HLS) implementation
• Experience with sensors, such as cameras, microphones, IMUs, and depth sensors
• Experience with SoC/DSP/FPGA and embedded systems
• Experience with Pytorch or TensorFlow
• Knowledge on Image processing, computer vision, and computer graphics
  

Facebook is proud to be an Equal 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. Facebook 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 accommodations-ext@fb.com.