Software Engineer - Cameras & Sensors

Job Description

The Reality Labs team at Meta enables people around the world to come together and connect through industry-leading Augmented and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, AR/VR is committed to driving the state of the art forward through relentless innovation. Our teams explore, develop, and deliver new technologies that serve as the foundation of current and future AR/VR products. As a specialized Software Engineer at the Reality Labs, you will develop the software behind some of our flagship AR and VR products, the prototyping platforms that make these products possible, or foster our scientific explorations. You will collaborate with cross-functional teams, threading together newly developed technologies to create intuitive experiences that enhance people's experience of the world around them. This role will be in one of our many teams, where you could be doing any of the following: Optimization, frameworks and foundational Linux/AOSP work in support of AR and VR applications, building the system-oriented camera and sensor services along with the surrounding infrastructure and tools. **Responsibilities:** Contribute to how Meta Reality Labs develops its future capabilities and for teams to deliver high-quality experiences for current and future products. Build tools, system architecture, prototypes, frameworks and infrastructure for any of the following: sensor control / data management, AOSP, sensor telemetry and performance profiling. Collaborate with cross-functional teams of partners, product managers and engineers in areas like computer vision, machine learning, graphics, hardware and firmware to understand requirements and enhance existing solutions. Write clean readable code, debug complex problems that span systems.

Skills Required

• C++
• Operating Systems
• AOSP (Android Open Source Project)
• Protocol Design
• Resource-constrained Devices
• Memory-constrained Devices
• System Development
• Hardware Sensor Data Access
• Hardware Sensor Control
• Cameras (Sensor)
• IMUs (Sensor)
• Android Internals
• Android Frameworks Services
• Android HAL
• Android Native Libraries
• Android SDK
• Android NDK
• Android JNI
• Android IPC Mechanisms
• Linux OS Development
• Performance Profiling
• Performance Tuning
• Telemetry
• System Event Tracing
• System Analysis
• Thermal Optimization
• Power Optimization (Embedded Systems)
• System Resource Optimization (Mobile Platforms)
• AI Skill Development
• Prompt Engineering
• Context Engineering
• Agent Orchestration
• Ethical AI Practices
• Risk Assessment (AI)
• Bias Mitigation (AI)
• Quality and Accuracy Reviews (AI)
• AI Tool Integration