Full-Time

Platform Engineer

Performance Infrastructure

Confirmed live in the last 24 hours

Modular

Modular

51-200 employees

Unified AI frameworks and hardware platform

AI & Machine Learning

Senior

Remote in USA + 1 more

Required Skills
Kubernetes
Python
Docker
Linux/Unix
Requirements
  • 7+ years of experience developing and operating large-scale cloud platforms
  • Experience with implementing Infrastructure as Code and GitOps solutions
  • Experience with Linux, Docker, and Kubernetes
  • Experience with at least one programming language (Go, Python, etc.)
  • Experience cloud and application security best practices
  • Experience using open source software components in production
  • Devotion to quality and engineering excellence
  • Strong written and verbal communication skills
  • Strongly identifies with core company cultural values
Responsibilities
  • Build monitoring, alerting, and observability platforms for benchmarking SOTA performance
  • Maintain benchmark clusters across a range of cloud providers
  • Collaborate with open-source engineers to help facilitate the future of ML software stacks
  • Develop highly reliable and scalable benchmark systems across diverse OS and hardware targets

The company offers a next-generation AI developer platform that unifies AI frameworks and hardware, providing unparalleled performance and cost savings. The platform includes a new programming language, Mojo, and a modular engine that enables model deployment, compute portability, and scalability, revolutionizing AI infrastructure.

Company Stage

Series A

Total Funding

$130M

Headquarters

,

Founded

2022

Growth & Insights
Headcount

6 month growth

8%

1 year growth

19%

2 year growth

547%