Software Engineer, Systems ML - SW/HW Co-design
Sunnyvale, CA | Menlo Park, CA | Seattle, WA | Fremont, 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
- 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
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. Apply
Job Profile
California residents preferred
Benefits/PerksAccommodations Accommodations for disabilities Benefits Bonus Equity Flexible work environment Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Apply AI infrastructure
- Build
- Define use-cases
- Design
- Develop
- Drive data-driven analysis
- Mentor engineers
- Optimize ML systems
- Research
AI AI algorithms Ai infrastructure Algorithm Development Algorithms Architecture C C++ Compilers Computer Science Deep Learning Design Developing Distributed Systems Efficiency Engineering Frameworks GPU GPU architecture Hardware Acceleration High Performance Computing Industry experience Influencing Infrastructure Leadership Machine Learning Machine learning compilers On-device algorithm development Performance optimizations Physics Python PyTorch Ranking models Recommendation models Recruiting Research SW/HW co-design System design Technical Technical Leadership Virtual reality Web
Experience3-7 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 Master's degree Ph.D. 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