Meta Inc

We are looking for Software Engineers who are passionate about sensors and want to build performant and scalable software pipelines for sensor fusion and multi-modal machine learning algorithms for AR/VR. In this role you will lead the definition and implementation of software frameworks and tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor data, and more.. Demonstrated experience with modern machine learning frameworks such as PyTorch or TensorFlow.. Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation.. Familiarity with Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO).. Experience with radar/sonar imaging and 3D image reconstruction techniques.

software engineer

Summary: 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. Sensors are a crucial component for enabling core features on our products such as world-locked rendering, hand, body & eye tracking, image stabilization, scene reconstruction, mapping, and health sensing.The team is composed of a multi-disciplinary team of engineers and scientists. We work cross-functionally across multiple products to deliver sensing solutions tailored for the requirements and constraints of each particular product/feature and develop platform technologies that can be reutilized across multiple products and product lines.We are looking for Software Engineers who are passionate about sensors and want to build performant and scalable software pipelines for sensor fusion and multi-modal machine learning algorithms for AR/VR. In this role you will lead the definition and implementation of software frameworks and tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor data, and more. You will collaborate with other engineers and researchers across Meta to develop new concepts and technologies for next generation sensor systems, including alternative sensing modalities and novel sensing algorithms. Required Skills: Software Engineer, Sensors Responsibilities: Lead the design and development of new frameworks and core software components to implement, optimize, visualize, and debug sensor fusion and machine learning algorithms. Architect, design, and prototype critical sensor technologies that combine multiple sensing modalities, while balancing system-level constraints on compute, performance, and power. Develop relationships and lead engagements with internal and external industrial and research partners to develop and scale novel technologies from incubation to production. Collaborate with other engineers and researchers across Meta to develop new concepts and technologies for next generation sensor systems, including alternative sensing modalities and novel sensing algorithms that advance the state-of-the-art in AR/VR systems. Mentor other engineers on the team, provide direction and guidance to improve quality and depth of the Software Engineering work in the broader team. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ years of experience coding with C++ and Python for design and development of sensor fusion and machine learning technologies and systems. Demonstrated experience with modern machine learning frameworks such as PyTorch or TensorFlow. Familiarity with modern machine learning algorithms, specifically deep Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), transformers, clustering, and dimensionality reduction. Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation. Experience in designing software systems and machine learning models targeted for edge devices. Preferred Qualifications: Preferred Qualifications: MS or PhD degree in Computer Science, Machine Learning, Robotics or related technical field. Familiarity with Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO). Proven track record of achieving significant results as demonstrated by patents or first-authored publications. Experience with radar/sonar imaging and 3D image reconstruction techniques. Familiarity with Inertial Sensors, Pressure Sensors, Magnetometers, and/or similar sensors. Familiarity with the emerging Augmented Reality and Virtual Reality technologies. Demonstrated experience in cross-group and cross-culture collaboration. High levels of creativity and quick problem-solving skills. Public Compensation: $177,008/year to $251,000/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 accommodations-ext@fb.com.
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