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Meta · 1 day ago

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

Bellevue, WA

Full-time

Hybrid

Mid, Senior Level

3+ years exp

Meta is seeking an AI Software Engineer to join our Research & Development teams. The role involves applying AI infrastructure and hardware acceleration techniques to enhance ML systems that improve Meta’s products and experiences.

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++PythonHardware AcceleratorsGPU ArchitectureMachine Learning CompilersHigh Performance ComputingPerformance OptimizationsDistributed SystemsOn-device AlgorithmsRecommendation 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

Preferred

Experience with distributed systems or on-device algorithm development

Experience with recommendation and ranking models

Technical leadership experience

A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures