Description
We are seeking a skilled and highly motivated systems software engineer to join our Systems Software and Architecture team at Apple’s Vision Products Group, focused on designing and building low-level systems software and frameworks that run Apple’s vision products. You will be working in a highly cross-functional, collaborative environment, working closely with SoC architects, operating systems teams, accelerator core teams, embedded coprocessor teams, and the Security and Privacy teams, among others. You will design, develop, and integrate novel systems software with a high focus on performance, power efficiency, security, and privacy. You will be solving novel complex problems across all Apple devices with a focus on Vision Products and intelligent devices ecosystems. You are the right match if: You possess strong skills in systems software design and programming. You are passionate about solving challenging systems software problems. You are able to traverse the software stack at any level. You have a good understanding of operating systems. You have a good understanding of the ARM architecture. You are skilled at the art of communicating and enjoy a highly collaborative environment. You are able to acquire new skills and languages. You have a keen interest in security and privacy. You have an interest in working with foundation models.
Minimum Qualifications
5+ years of proven systems software experience. Proficiency in C/C++. Strong knowledge of operating systems and embedded software development fundamentals. Good working knowledge of the ARM architecture. Excellent communication skills. Creative, collaborative, and product-focused. Bachelors or Masters in Computer Science, Computer Engineering, or equivalent experience.
Preferred Qualifications
Demonstrated experience building low-level systems software and frameworks. Strong working experience with extensible software design and architecture. Strong working knowledge of operating systems’ inner workings, such as memory management, interrupt handling, and scheduling. Experience with AI accelerators. Strong working knowledge of LLMs and foundation models. Demonstrated innovative and creative thinking capabilities.
Learn more about this Employer on their Career Site
