Software Engineer, Systems ML - SW/HW Co-design
Description For Software Engineer, Systems ML - SW/HW Co-design
Meta is seeking an experienced AI Software Engineer for their Research & Development teams to work on cutting-edge AI Infrastructure projects. This role focuses on SW/HW co-design and machine learning systems optimization, offering a unique opportunity to impact Meta's products and experiences through intelligent ML systems.
The position requires deep expertise in AI infrastructure, hardware acceleration, and machine learning systems. You'll be working on crucial problems that affect Meta's vast network of products, including Facebook, Instagram, WhatsApp, and their emerging AR/VR technologies. The role combines technical leadership with hands-on development, requiring both system-level optimization skills and machine learning expertise.
As a Senior Software Engineer, you'll be responsible for building and optimizing ML systems, leading cross-team initiatives, and mentoring other engineers. The role offers competitive compensation ($70,670 - $208,000/year) plus bonus and equity, reflecting Meta's commitment to attracting top talent. You'll be working from their Sunnyvale location, contributing to Meta's mission of building the next evolution in social technology.
The ideal candidate should have 7+ years of experience with a Bachelor's degree (or equivalent experience with advanced degrees) in AI framework development or accelerating deep learning models. This is an excellent opportunity for someone passionate about AI infrastructure who wants to work at scale and shape the future of social technology.
Responsibilities For Software Engineer, Systems ML - SW/HW Co-design
- Apply AI infrastructure and hardware acceleration techniques to build & optimize intelligent ML systems
- Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
- Deliver impact through deep, thorough data-driven analysis
- Drive large efforts across multiple teams
- Define use cases, and develop methodology & benchmarks
- Apply in-depth knowledge of ML infrastructure interactions
- Mentor other engineers / research scientists
Requirements For Software Engineer, Systems ML - SW/HW Co-design
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Specialized experience in machine learning/deep learning domains
- Experience with hardware accelerators architecture, GPU architecture, machine learning compilers
- Experience with ML systems, AI infrastructure, high performance computing
- Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python
Benefits For Software Engineer, Systems ML - SW/HW Co-design
- Bonus
- Equity
- Benefits package
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