Job description

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 engineers 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. 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 Integrate software components from multiple partner teams into a unified product code base and drive their continued development Analyze, design, develop, and debug firmware for various devices, including novel sensing and imaging systems, haptic devices, and audio prototypes Bachelor's or Master's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years software development experience in industry settings or PhD with 4+ years of experience 3+ years embedded software development experience in industry settings Experience in large-scale C/C++ code base Experience defining and driving technical work streams and providing technical leadership for software engineering teams 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 in the full silicon development life cycle, from design to mass production Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in embedded software development for consumer electronic products in a hardware/firmware co-development environment

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Keywords to mirror

machine learningai

Platform: meta
Effort: medium

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