Platform Engineer

Summary

Join Modular's Platform Engineering group and help revolutionize AI infrastructure. We're a data-driven team focused on improving software delivery performance using Dora metrics. We're looking for experienced engineers with diverse backgrounds in software engineering, cloud services, and machine learning. You'll build monitoring and alerting systems, support internal engineers, and develop scalable services. We offer competitive compensation, world-class benefits, and a collaborative team environment. Remote work options are available for US and Canada-based candidates.

Requirements

• 4+ years of systems design experience such as distributed systems, high-performance concurrency, etc
• Experience building, deploying, and supporting cloud services (bonus points for multi-cloud)
• 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
• Support internal engineers to help facilitate the future of ML software stacks
• Develop highly reliable and scalable services for developing, testing, 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
• Flexible paid time off
• Competitive Compensation
• Stock options
• Team Building Events
• Regular team onsites and local meetups in different cities