Software Engineer, Systems ML - SW/HW Co-design
Meta
Software Engineer, Systems ML - SW/HW Co-design
Job Description
Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Locations
- Sunnyvale, CA, USA
- Bellevue, WA, USA
- Menlo Park, CA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI Software Engineeringintermediate
- AI Infrastructureintermediate
- Research & Developmentintermediate
- Problem Solvingintermediate
Required Qualifications
- 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 Experience with distributed systems or on-device algorithm development Experience with recommendation and ranking models Technical leadership experience 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, 7 years)
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
Tags & Categories
Software Engineer, Systems ML - SW/HW Co-design
Meta
Software Engineer, Systems ML - SW/HW Co-design
Job Description
Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Locations
- Sunnyvale, CA, USA
- Bellevue, WA, USA
- Menlo Park, CA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI Software Engineeringintermediate
- AI Infrastructureintermediate
- Research & Developmentintermediate
- Problem Solvingintermediate
Required Qualifications
- 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 Experience with distributed systems or on-device algorithm development Experience with recommendation and ranking models Technical leadership experience 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, 7 years)
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
Tags & Categories