At Meta, we're building innovative products that make it easier for people to connect with each other and enjoy immersive experiences. Our team of experienced experts is developing and shipping products at the intersection of hardware, software, and content, pushing the future of computing platforms and redefining the way people work, play, and connect. As an Embedded Software Engineer, you'll have the opportunity to design, develop, and optimize embedded firmware systems for our AR, VR, and wearable devices, working on low-level systems software, device drivers, and connectivity protocols such as Wi-Fi, Bluetooth, and Core Android networking. You'll collaborate with cross-functional teams to solve complex problems and drive innovation in areas such as computer vision, machine learning, and graphics, helping to shape the future of technology and create new experiences for augmented reality, virtual reality, and social/family products.
Responsibilities
Design and implement software components at all layers of the system, including kernel, synchronization primitives, resource allocators, memory management, security, I/O systems, persistence, etc Develop drivers and services that operate efficiently in constrained environments and deliver large volumes of data with low-latency and high-bandwidth Lead hardware bring-up, peripheral drivers and communication, silicon integration, and power and performance management and optimization efforts Debug complex, system-level, multi-component issues that span multiple layers from kernel to application Profile performance problems and drive optimizations across the entire software stack Analyze, design, develop, and debug firmware for a wide variety of devices, including novel sensing and imaging systems, haptic devices, and audio prototypes Collaborate closely with cross-functional teams, including silicon architects, hardware designers, OS team, and algorithm and model development teams Understand and implement power-management, boot loaders, scheduling, inter-processor communication, computer vision, and firmware/system interfaces on RTOS and/or bare-metal environments Design, develop, and architect models and infrastructure building blocks of Virtual Platforms, integrating internal models and vendor IP models
Qualifications
3+ years embedded software development experience in industry settings 5+ years of software development experience in embedded systems, systems programming, or a related technical field, or PhD with 2+ years of experience Demonstrated experience working across disciplines to drive optimal solutions Experience in large-scale C/C++ code base Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience in hardware bring up using interfaces like Analog-to-Digital (ADC), General Purpose Input/Output (GPIO), Serial Peripheral Interface (SPI), Inter-Integrated Circuit (I2C), etc Device driver development, embedded systems, or operating systems Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in one or more of the following areas: Board Support Package (BSP), Operating Systems, Android OS, Real-Time Operating System (RTOS), Bootloader, Power Management, Linux, Graphics and Display Drivers, Microcontroller Unit (MCU) Demonstrate specialized experience in two or more of the following areas: BSP/Board Support Package, Operating Systems, CoreOS, Kernel, Android Kernel, Bootloader, Power Management, RTOS, Linux, Graphics and Display Drivers, Microcontroller Unit (MCU) Demonstrated experience working collaboratively in cross-functional teams Experience with Software Development processes including: source control, bug tracking, and design documentation Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience developing, debugging, and shipping software products on large code bases that span platforms and tools