Meta AR/VR Job | Audio Advanced Development System Architect, AR/VR Research | Oculus
Job（岗位）: Audio Advanced Development System Architect, AR/VR Research | Oculus
Type（岗位类型）: Recruiting | Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2022-3-9
Summary（岗位介绍）
Reality Labs Research (RL-R) at Meta brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality. The Audio Research team is focused on harnessing the power of AR and VR to make virtual sounds indistinguishable from reality and give audio superpowers to billions of people, forever transforming the way we work, play, and connect. We believe that a key component of this mission is to improve and enhance human hearing for people at all levels of hearing ability in all aspects of their daily life.
We are looking for an Audio Research System Architect to join our growing interdisciplinary team to drive integration of novel audio technologies into features that directly impact users of future AR and VR devices. In this position, you will collaborate closely with a cross-functional team of engineers, research scientists, product managers, and experience designers to ideate, architect, and implement systems which demonstrate the experiential value and product viability of novel audio technologies. You will drive technical interfaces with the product development organization to guide the advanced development activities with the understanding of future product constraints, and also transfer the system-level knowledge to the product counterparts for feature productization, leveraging your multi-disciplinary experience in acoustics, audio algorithms, embedded DSP, and product development.
Qualifications（岗位要求）
Master’s degree in Acoustics, Audio Engineering, Electrical Engineering, Computer Engineering with 7+ years of industry experience in audio technology development, or equivalent combination of education and experience
Understanding of physical acoustics fundamentals relevant for consumer audio devices
Proficiency in DSP & ML fundamentals and concepts that are commonly encountered in real-time audio algorithms for speech enhancement application
Demonstrated experience of developing real-time audio applications targeting embedded digital signal processors and hardware accelerators
Demonstrated contribution to development of a consumer audio device from inception to production
Demonstrated experience influencing a cross-functional and inter-disciplinary team in scientific/engineering investigations
Description（岗位职责）
Represent Research Audio team’s perspective in cross-functional engagements with product teams on all technical matters relating to new audio features under development from Research Audio
Connect the target user experience of novel audio technologies to a high-level system architecture definition incorporating both hardware and software, with the goal of demonstrating the product viability of these technologies
Interface with product system architects to gain an intimate understanding of target product constraints, translate productization risks to specific engineering investigations, and align on potential paths for feature implementation
Oversee the development of proof-of-concept prototypes comprising hardware, DSP, and software subsystems
Specify and direct targeted investigations to discover the target and bounds of system-level key performance indicators (KPIs)
Combine the results of advanced development investigations into a functional requirement document that gets communicated to product partners as a reference for feature productization
Stay abreast of the maturity of technology portfolio under Research Audio, product ecosystem and technology roadmap under Reality Labs to strategically identify opportunities and make technical decisions for advanced development projects
Additional Requirements（额外要求）
Demonstrated experience leading development of audio features as a cross-functional system architect
Demonstrated experience with audio technologies relevant for AR/VR
Deep familiarity with on-device ML for audio applications
Deep familiarity with audio transducers, mixed signal CODECs, DSP processors, NN processors, Bluetooth
