Software Engineer, Core OS Capabilities
Job details
- Level
- Senior
- Experience
- 2+ years
- Education
- Bachelor's degree
- Posted
- Nov 6, 2026
- Last confirmed open
- Nov 6, 2026
What you'll need to apply
What this employer's standard application typically asks
About this role
Reality Labs at Meta is building first-of-a-kind products that make it easier for people to connect with the ones they love most and the environment in natural and innovative ways. We leverage cutting edge technologies and platforms to build rich features, ensure high performance, security and privacy with power/thermal constraint.
We are a team of experts developing and shipping products at the intersection of hardware, software and content.
As a Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come.
We're the people helping to define the metaverse and next generation computing. We may not have all the answers. But together, we're getting closer.
Responsibilities
- Drive the team's engineering activities throughout the product development lifecycle, providing technical guidance to team members
- Plan, analyze, design, develop, and debug system software across high-level operating systems (HLOS) and RTOS environments
- Design, implement, and maintain core OS capabilities, focusing on security basics, privacy frameworks, memory encryption, biometrics, and SoC AI accelerator services/HAL including ExecuTorch integration
- Debug complex, system-level, multi-component issues that typically span across multiple layers in the system, and between systems (Android, RTOS etc)
- Bring up new devices and lead debugging that spans multiple hardware and software teams
- Collaborate in a team environment across multiple engineering disciplines, making the architectural tradeoffs required to rapidly deliver base level software for the devices
- Support factory SW development, device calibration, factory line bring up and failure analysis
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 5+ years software development experience in industry settings or PhD with 2+ years of experience
- Experience with design and programming in C or C++ for development, debugging, testing and performance analysis
- Experience debugging and troubleshooting complex issues involving multiple components in hardware, BSP/OS, and firmware
- Experience with system software development on HLOS or RTOS platforms
- Experience working collaboratively in cross-functional teams
- Experience with core OS capabilities such as security fundamentals, privacy protection, encryption techniques, or biometrics Experience developing with SoC BSP/Android system level, or modern Real Time Operating Systems
- Experience with software diagnostics and analysis tools for system-level debugging
- Experience developing, debugging, and shipping software products on large code bases that span platforms and tools
- Experience leading complex features or projects across multiple teams
- Prior full life cycle base platform level software/firmware development experience to bring a high volume product from design to mass production
- Prior experience in supporting large volume device manufacturing
- Experience designing and developing SoC AI accelerator software, Hardware Abstraction Layers (HAL), or machine learning runtime frameworks such as ExecuTorch
- 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)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies