Software Engineer, Systems ML - SW/HW Co-design
Sunnyvale, CA | Menlo Park, CA | Remote, US
- 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
- 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.
- Master/PhD degree in Computer Science, Computer Engineering
- Experience with distributed systems or on-device algorithm development
- Experience with recommendation and ranking models
- Experience collaborating with other teams in a fast-paced environment
$56.25/hour to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Job Profile
Accommodations Benefits Bonus Equity Individual compensation Reasonable accommodations
Tasks- Apply hardware acceleration
- Build
- Conduct data analysis
- Define use cases
- Design
- Design AI systems
- Develop
- Develop AI infrastructure
- Develop benchmarks
- Evaluate approaches
- Mentor engineers
- Mentor other engineers
- Optimize ML systems
- Research
AI Ai infrastructure Algorithm Development Algorithms Architecture Benchmark Development C C++ Color Compilers Computer Engineering Computer Science Data analysis Data-driven analysis Deep Learning Design Developing Distributed Systems Efficiency Engineering Frameworks Goal setting GPU GPU architecture Hardware acceleration Hardware accelerators architecture High Performance Computing Identity Industry experience Influencing Infrastructure Machine Learning Machine learning compilers Mentoring ML ML frameworks ML Systems Numerics On-device algorithms Optimization techniques Performance Optimization Physics Procedures Python PyTorch Ranking models Recommendation models Research Sw/hw co-design System design Systems Technical Techniques Virtual reality Web
Experience3 years
EducationBachelor Bachelor's Bachelor's degree Bachelor's degree in Computer Science Computer Engineering Computer Science Design Engineering Equivalent Equivalent practical experience Master Master's degree PhD Degree Physics Relevant technical field Technical field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9