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

The 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. * Collaborate with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc. * Performance tuning and optimizations of deep learning framework & software components. Minimum Qualifications: * In the process of obtaining, PhD degree in the field of Computer Science or a related STEM field * Research experiences in one or more of: AI compilers, high-performance kernel development, deep learning framework and runtime internals, numerics and low-precision formats, or parallelism strategies for large-scale training and inference * Knowledge of machine learning systems and computer architecture, including the memory and storage hierarchy, parallel execution, and performance analysis on accelerated hardware * Proven C/C++, Python or Rust programming skills * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications: * OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus * OR AI Frameworks: Experience in developing training and inference framework components, such as SGLang, vLLM, PyTorch, Caffe2, TensorFlow, ONNX, TensorRT * OR AI high performance kernels: Experience with CUDA programming, OpenMP / OpenCL programming or AI hardware accelerator kernel programming. Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc * Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development * Knowledge of GPU, CPU, or AI hardware accelerator architectures * Track record of achieving results as demonstrated by publications at leading systems conferences such as MLSys, OSDI, ASPLOS, ISCA, or CGO, or systems-focused work at ML venues such as NeurIPS, ICML, or ICLR * Experience working and communicating cross functionally in a team environment * Intent to return to a degree-program after the completion of the internship/co-op 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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]. $7,650/month to $12,667/month + benefits 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.