Modular is hiring a
Platform Engineer

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Modular

πŸ’΅ $113k-$286k
πŸ“Remote - United States, Canada

Summary

Join our world-leading AI infrastructure team and help drive our AI infrastructure stack forward. We are looking for candidates based on both their breadth and depth of experience from any number of specialties such as software engineering, IAAS and PAAS, test, build, compiler, kernel, hardware, machine learning and more to help accelerate the Software Development Life Cycle.

Requirements

  • 4+ years of systems design experience such as distributed systems, high-performance concurrency, etc
  • Ability to create durable, reusable software frameworks that are leveraged across teams and functions
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Experience with one or more cloud application programming languages (C, C++, Java, C#, Go etc.) and modern scripting languages (Bash, Python, etc)
  • Strong collaboration skills, ability to share information with internal and external engineering and product teams
  • Experience, or deep interest, in machine learning technologies and use cases
  • Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture
  • Experience using open source software components in production
  • Devotion to quality and engineering excellence
  • Strong written and verbal communication skills
  • Strongly identifies with our core company cultural values

Responsibilities

  • Build monitoring, alerting and observability for Modular Software Development Life Cycle services
  • Collaborate with open source engineers to help facilitate the future of ML software stacks
  • Develop highly reliable and scalable CI/CD pipelines for builds, tests and benchmarking across diverse OS and hardware targets

Preferred Qualifications

  • LLVM, MLIR, or Python experience is a bonus
  • Experience with working on or contributing to a major machine learning framework such as TensorFlow, PyTorch, and/or ONNX/ONNXRuntime is a bonus

Benefits

  • Premier insurance plans
  • Up to 5% 401k matching
  • Very generous WFH setup stipends
  • Flexible paid time off

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