Software Engineer, Systems ML - Sw/hw Co-design

Meta · Big Tech · Sunnyvale, CA +1

Software Engineer focused on AI Systems and ML Infrastructure, specifically involving hardware acceleration, compilers, and performance optimizations for ML systems. The role involves building and optimizing these systems, collaborating across teams, and applying knowledge of ML infra interaction with other systems. Experience with distributed systems, on-device development, and recommendation/ranking models is mentioned, along with a need to integrate AI tools and adhere to ethical AI practices.

What you'd actually do

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

Skills

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
Experience with distributed systems or on-device algorithm development
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Nice to have

Master/PhD degree in Computer Science, Computer Engineering
Experience collaborating with other teams in a fast-paced environment
Experience with recommendation and ranking models
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

What the JD emphasized

AI infrastructure
hardware acceleration
ML systems
performance optimizations
SW/HW co-design
distributed systems
on-device algorithm development
recommendation and ranking models
AI tools
ethical AI practices
agent orchestration

Other signals

AI infrastructure
hardware acceleration
ML systems
performance optimizations
SW/HW co-design

Read full job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

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

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 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 Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Experience with distributed systems or on-device algorithm development Master/PhD degree in Computer Science, Computer Engineering Experience collaborating with other teams in a fast-paced environment Experience with recommendation and ranking models Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies