AI Software Engineer

SGS_JOB_1756

Engineering
Remote
AI
ML
Aten
Triton
CUDA
Kineto trace
Pytorch
Python

Contract - 06 Months

• The AI and Systems Co-Design team has a mission to explore, develop, and help productize high-performance software and hardware technologies for AI. • Our team defines and drives the AI software and hardware roadmap. • We are seeking a candidate who will work on a foundational tool of our internal workloads on current and next-generation AI platforms. Specifically, • this position focuses on collecting, processing, storing, and analyzing various operators and workloads.

Job Responsibilities:

  • Extract operators (e.g. aten, triton) from AI/ML models.
  • Run operators on multiple devices and collect performance data.
  • Process collected data and store it to a database while maintaining data integrity.
  • Implement, improve, and maintain programmatic and web interfaces to query and analyze performance data stored in the database.
  • Collaborate as part of a project team to coordinate development and determine project scope and limitations.
  • Review project requests to estimate time and cost required to complete the project.
  • Maintain the database by ensuring data is properly saved and can be retrieved efficiently.
  • Have a solid understanding of how to write data to the database and read data from it.
  • After completing these tasks, integrate the database into the automated
  • testing workflow (Continuous Integration - CI).

Skills:

  • Hands-on experience with product-level Python programming
  • Essential for implementing, improving, and maintaining programmatic and web interfaces, as well as processing and analyzing data.
  • Proficiency in PyTorch, Kineto trace, dispatcher, and CUDA/Triton kernels
  • Critical for extracting operators from AI/ML models, running them on devices, and collecting performance data.
  • Hands-on experience in database management and SQL
  • Necessary for processing collected data, storing it in databases, and maintaining data integrity.
  • Machine learning experience
  • Experience in Large Language Models (LLM), especially Llama
  • Valuable for working with advanced AI models and potentially improving performance analysis.
  • Knowledge of CI-based testing and automation
  • Helpful for ensuring code quality and automating testing processes.
  • Proficiency in Linux and Bash
  • Important for working in the development environment and managing scripts and tools efficiently.

Education/Experience:

  • At least three years of experience with above-mentioned skills is required for this role.

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