Software Engineer Leadership

Software Engineer Leadership at Meta

Meta is seeking a Software Engineer Leadership to join their teams, focusing on AI-related topics. The ideal candidate will leverage industry experience to solve crucial and exciting problems on the web. This position offers opportunities across multiple locations.

Software Engineer Leadership Responsibilities

• Drive the organization’s goal towards relevant machine learning techniques to build and optimize intelligent systems that improve Meta’s products and experiences.
• Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency.
• Assist in goal setting related to project impact, AI system design, and ML capabilities.
• Develop custom/novel architectures, define use cases, and develop methodology and benchmarks to evaluate different approaches.
• Apply in-depth knowledge of how the machine learning system interacts with other surrounding systems.
• Understand industry and Meta-wide technology trends in computing technology to help assess and develop new technologies within the ML Systems roadmap.
• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient.
• Partner and collaborate with organizational leaders to help improve the level of performance of the team and organization.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Vast experience communicating and working across functions to drive solutions.
• Experience in driving large cross-functional/industry-wide engineering efforts.
• Proven track record of planning multi-year roadmaps in which shorter-term projects ladder to the long-term vision.
• Experience leading projects with industry-wide impact.
• Specialized experience in one or more of the following machine learning/deep learning domains: ML systems, AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization.
• Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python.

Preferred Qualifications

• Experience with distributed systems or on-device algorithm development.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook's launch in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions. Now, Meta is pioneering immersive experiences like augmented and virtual reality, shaping a future beyond screens, distance, and physics. Those who build their careers at Meta help define the next evolution in social technology.

Key skills/competency

• Machine Learning Systems
• AI Infrastructure
• Deep Learning
• High Performance Computing
• GPU Architecture
• C++ Programming
• Python Programming
• Distributed Systems
• Technical Leadership
• Strategic Planning