Manager, Sensor Systems

Company: Meta
Location: Redmond
Posted on: September 20, 2022

Job Description:

Reality Labs (RL) Sensors Team at Meta is helping build novel products in Augmented and Virtual Reality. Our team explores, develops, and delivers new cutting-edge sensing technologies that serve as the foundation of current and future AR/VR products at Meta. We are looking for candidates with experience in sensing algorithms to lead the development of novel hardware and software systems within the RL Sensors Team, while collaborating with experts across multiple domains.

Manager, Sensor Systems Responsibilities:

• Collaborate with other managers, researchers and engineers across both hardware and research teams at Meta on definition, development, integration, and validation of sensing algorithms for AR/VR systems and wearables.
• Lead a team of engineers to help design, setup, and run data collection pipelines using sensors such as IMUs, Pressure Sensors, Ultrasonic Transducers and Magnetometers.
• Own development of signal conditioning, sensor fusion, and machine learning algorithms for sensing systems.
• Develop and manage the implementation of scalable software infrastructure for edge devices.
  
  Minimum Qualifications:
  • BS in Computer Science, Electrical Engineering, or related fields.
  • 2+ years technical leadership experience directly contributing to sensing algorithm development for edge devices.
  • 5+ years software engineering experience in C++ and scripting environments such as Python and/or MATLAB.
  • Hands-on experience in developing sensing algorithms for Inertial Sensors, Pressure Sensors, Magnetometers, Ultrasonic Transducers, and/or similar sensors.
  • Experience in at least one relevant specialization area including Simultaneous Localization and Mapping (SLAM), Visual Inertial Odometry (VIO), Machine Learning, sensor fusion and state estimation.
  • Familiarity with modern Machine Learning algorithms, specifically Deep Convolutional Networks, Recurrent Neural Networks, Clustering, and Dimensionality Reduction.
  • Demonstrated willingness to work effectively in a highly cross-functional team environment.
    
    Preferred Qualifications:
    • MS or PhD in Computer Science, Electrical Engineering, or related fields.
    • Demonstrated experience in signal conditioning, digital filtering, signal-to-noise ratio analysis, link-budget analysis, detection and estimation theory.
    • Familiarity with modern machine learning platforms such as PyTorch and TensorFlow.
    • Demonstrated experience working effectively in a highly cross-functional team environment.
    • Familiarity with the emerging Augmented Reality and Virtual Reality technologies.
    • High levels of creativity and quick problem-solving skills.
      
      
      
      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.by Jobble

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