
Software Engineer, Infrastructure
3 days ago
Join to apply for the
Software Engineer, Infrastructure
role at
Meta .
The MRS ML Infra team focuses on ML infrastructure performance and efficiency for large-scale AI training and inference in the recommendation domain. In this role, you will optimize the end-to-end stack for model training and inference, working on distributed systems, model/system co-design, GPU optimizations, and more. Your main responsibilities will include identifying and leading efforts to improve efficiency, as well as shaping long-term strategies such as performance automation and regression mitigation.
Responsibilities:
Identify performance bottlenecks across models, infrastructure, and systems
Implement improvements to enhance efficiency
Guide other engineers on performance opportunities
Coordinate with cross-functional ML teams
Define technical strategies and roadmaps
Mentor team members
Minimum Qualifications:
6+ years programming experience in relevant languages
6+ years building large-scale infrastructure applications
Experience in system efficiency, scalability, and stability
Ownership of system components
Proficiency in scripting languages like Python, JavaScript, or Hack
Track record of high-quality, reliable work
Experience leading technical teams and cross-team collaboration
Knowledge of quality assurance practices
Bachelor's degree in a relevant technical field or equivalent experience
Preferred Qualifications:
Knowledge of large-scale software architecture
Experience with C, C++, Java
Hands-on experience with large-scale AI infrastructure systems
Experience with training/inference for large models
Expertise in high-performance computing and GPU optimization
Meta builds technologies to connect people and create immersive experiences. Compensation varies based on skills and location, including benefits. Learn more about benefits at Meta.
Additional Details:
Seniority level: Not Applicable
Employment type: Full-time
Job function: Engineering and IT
Industries: Technology, Internet
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