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Embedded Software Engineer, BSP/Kernel - Reality LabsMETA • Seattle, Washington, United States
Jetzt Bewerben
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Embedded Software Engineer, BSP/Kernel - Reality Labs

META
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

Summary 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.
Required Skills
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
Minimum 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
Preferred Qualifications
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
Public Compensation $154,000/year to $217,000/year + bonus + equity + benefits
Industry Internet
Equal Opportunity Meta is proud to be an Equal Employment Opportunity and affirmatively 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@meta.com.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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