Research Scientist Intern, AI & Compute Foundation - MTIA SW (PhD)

Meta; Menlo Park (CA); On-site; USD 33,000 - 50,000; Full time

Job summary

Meta’s MTIA Software team in Menlo Park, CA offers 12–24 week internships focused on AI software and accelerator hardware. Interns contribute to AI framework cores, compilers, and high-performance kernel development for AI workloads.

Ideal candidates are pursuing a PhD, with strong experience in PyTorch, AI frameworks, and performance optimization. Start dates occur throughout the year, with a focus on datacenter-scale AI acceleration.

Qualifications

• Pursuing a PhD in a related field.
• Strong knowledge of AI frameworks and compilers.
• Experience with high-performance kernel development and acceleration.

Responsibilities

• Develop software stack for AI frameworks, compiler stacks, or kernel development.
• Contribute to PyTorch core compilers to support new AI hardware accelerators.
• Analyze networks and implement compiler optimization algorithms.

Skills

AI frameworks

Compiler optimization

High-performance kernel

Education

PhD in Computer Science/Engineering

Tools

PyTorch

Job description

# Research Scientist Intern, AI & Compute Foundation - MTIA SW (PhD)Menlo Park, CA Artificial Intelligence+ 8 moreApply nowThe MTIA (Meta Training & Inference Accelerator) Software team is part of the AI & Compute Foundation org. The team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. The team co-optimizes both SW (e.g., algorithms and numerics) and HW (e.g., platform and network) to come up with balanced system design. To develop new systems, requires understanding performance bottlenecks on existing systems. As a result, the team invests significantly into optimizing AI production models on existing systems. This has resulted in TCO wins for all key AI services.The team has been developing AI frameworks to accelerate Meta’s DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way. As part of the AI acceleration software stack, we develop kernel libraries exploiting various hardware architectural features, achieving high performance for our inference and training workloads.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.---## Research Scientist Intern, AI & Compute Foundation - MTIA SW (PhD) Responsibilities* Develop SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures.* Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance.* Analyze deep learning networks, develop & implement compiler optimization algorithms.