Software Engineer, Systems ML - SW/HW Co-design
Job in
Bellevue, King County, Washington, 98009, USA
Listed on 2026-06-30
Listing for:
Meta Platforms, Inc.
Full Time
position Listed on 2026-06-30
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Computer Science
Job Description & How to Apply Below
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
- 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
- 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.
- Experience with distributed systems or on-device algorithm development
- Experience with recommendation and ranking models
- Technical leadership experience
$146,994/year to $208,000/year + bonus + equity + benefits
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