Software Engineer - Systems Specialist

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Oslo, Norway

Meta is looking for software engineers to help scale and improve the efficiency of large AI/ML work loads. A part of this is enabling high performance interconnect (HPI) solutions, optimising collective operations to improve machine learning model performance. This is an opportunity to work within a highly skilled team, collaborating with a large set of cross-functional partners and help bringing next generation large cluster architectures to life.

Software Engineer - Systems Specialist Responsibilities

Support networking and compute hardware acceleration techniques to improve ML inference and training model performance

Implement ML model optimisation features

Debug custom and third party multi-host, accelerator enabled AI platforms

SW development using C++/C and Python

Work closely with other teams to deliver impact

develop & improve features and innovations

Extend and optimize large scale learning collective operations

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators, AI Infrastructure, OR high performance computing,

Experience of ML systems & AI Frameworks (like PyTorch)

Solid experience developing in C++/C

English language proficiency

Preferred Qualifications

GPU architecture experience

Experience with distributed systems at scale

Parallel programming in MPI, OpenMP, Posix threads or similar distributed frameworks or languages

Experience of large scale machine learning clusters

Locations

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity and Affirmative Action

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.