Member of Technical Staff - Compute Platform

2 months ago

Responsibilities

Build web interfaces for AI workload management and monitoring.
Develop Python REST APIs, backend services, automation scripts, and platform support tools.
Create real-time monitoring and debugging tools and user-facing resource-management and job-control features.
Design and implement distributed training infrastructure, high-performance networking, and coordination components in Rust.
Build infrastructure automation pipelines and manage cloud resources and Kubernetes container orchestration.
Implement scheduling systems for heterogeneous CPU, GPU, and TPU hardware.
Collaborate on backend features and integrate them into existing infrastructure while maintaining reliability and security.

Strong Python backend development experience, including FastAPI and asynchronous programming.
Modern frontend development experience with TypeScript, React or Next.js, and Tailwind.
Experience building developer tools, dashboards, RESTful APIs, and backend services.
Systems programming experience with Rust.
Experience with Ansible, Terraform, Kubernetes, and cloud platforms, with GCP preferred.
Experience with observability tools such as Prometheus and Grafana.
Experience with GPU computing, ML infrastructure, AI/ML model architecture and training, high-performance networking, open-source infrastructure, or WebSocket and real-time systems is preferred.

Opportunity to work with experienced engineers and researchers on frontier AI infrastructure.
Encouragement to contribute to the broader AI community through research and open-source contributions.

51-200 employees