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AI Specialist - Compiler

Flint, MI
  • Expired: November 07, 2022. Applications are no longer accepted.

In this role, you will be part of the AI compiler team and the part of the bigger industry-leading PyTorch ML Framework team. The AI Compiler team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to explore new DL/ML model architectures, combined with auto-tuned high performance for production environments across a wide range of hardware architectures. The compiler framework, ML graph optimizations and kernel authoring specific to the hardware impacts performance, developer efficiency & deployment velocity of both AI training and inference platforms at Meta. You will be developing AI compiler frameworks to accelerate machine learning workloads on the next generation of AI hardware. You will work closely with AI researchers to analyze deep learning models and how to lower them efficiently on AI platforms. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software co-design for AI domain specific problems.

AI Specialist - Compiler Responsibilities:
  • Development of AI compiler framework, high performance kernel authoring and acceleration onto next generation of hardware architectures.
  • Contribute to the development of the industry-leading PyTorch ML framework core compilers to support new state of the art inference and training ML HW accelerators and optimize their performance.
  • Analyze deep learning networks, develop & implement compiler optimization algorithms.
  • Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Computer vision, NLP.
  • Performance tuning & optimizations of deep learning frameworks.

Minimum Qualifications:
  • Effective C/C++ programming skills.
  • Experience in accelerating deep learning models or libraries on hardware architectures.
  • Experience with CUDA programming, OpenMP/OpenCL programming or AI hardware accelerator kernel programming.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications:
  • Relevant work or experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD.
  • Experience with MLIR, LLVM, IREE, XLA, TVM, Halide.
  • Knowledge of GPU, CPU or AI hardware accelerator architectures.
  • Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT.
  • Relevant work or experience with runtime analysis & optimizations for latency, memory bandwidth, I/O access, compute utilization analysis etc.

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law



Flint, MI



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