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Meta · 2 weeks ago

Software Engineer, Systems ML - SW/HW Co-design

Menlo Park, CA

Full-time

Hybrid

Mid, Senior Level

Meta is seeking an AI Software Engineer to join our Research & Development teams, focusing on AI Infrastructure. The role involves applying AI infrastructure and hardware acceleration techniques to enhance Meta's intelligent ML systems, as well as mentoring other engineers and driving large collaborative efforts across teams.

Computer Software

Comp. & Benefits

Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences

Goal setting related to project impact, AI system design, and infrastructure/developer efficiency

Directly or influencing partners to deliver impact through deep, thorough data-driven analysis

Drive large efforts across multiple teams

Define use cases, and develop methodology & benchmarks to evaluate different approaches

Apply in depth knowledge of how the ML infra interacts with the other systems around it

Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Qualification

Machine LearningAI InfrastructureC/C++PythonGPU ArchitecturePerformance OptimizationsMachine Learning FrameworksDistributed SystemsOn-device Algorithm DevelopmentRecommendation ModelsRanking ModelsTechnical Leadership

Required

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 architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design

Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python