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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 Generalist 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
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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.
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.
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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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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