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Software Engineer, Systems ML - SW/HW Co-design
source link: https://www.metacareers.com/jobs/1838924999834487/
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Log inSoftware Engineer, Systems ML - SW/HW Co-design
Software Engineer, Systems ML - SW/HW Co-design
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.
Software Engineer, Systems ML - SW/HW Co-design 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
Minimum 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
Preferred Qualifications
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
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Locations
Data Center
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [email protected].
$146,994/year to $208,000/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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