Jobs · Engineering · California

Member of Technical Staff - Compute Platform

Prime Intellect · San Francisco, CA · 1 wk ago
On-siteEngineering$150/hrFull-time

Core Technical Responsibilities

  • Platform Development
    • Build intuitive web interfaces for AI workload management and monitoring
    • Develop REST APIs and backend services in Python
    • Create real-time monitoring and debugging tools
    • Implement user-facing features for resource management and job control
  • Infrastructure Development, Automation & Reliability
    • Design and implement distributed training infrastructure in Rust
    • Build high-performance networking and coordination components
    • Create infrastructure automation pipelines with Ansible
    • Manage cloud resources and container orchestration
    • Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)
  • Backend & Feature Development
    • New Feature Engineering: Collaborate with the engineering team to design and implement backend features
    • API and Service Development: Enhance our platform’s REST APIs and backend services to support new capabilities and improve overall performance
    • System Integration: Ensure seamless integration of new features into our existing infrastructure, maintaining high reliability and security standards

    Development & Infrastructure Skills

    • Backend Engineering: Proficiency in Python for developing automation scripts, REST APIs, and backend support tools
    • Container & Cloud Technologies: Hands-on experience with Kubernetes and cloud platforms (GCP preferred)

    Technical Requirements

    • Platform Skills
      • Strong Python backend development (FastAPI, async)
      • Modern frontend development (TypeScript, React/Next.js, Tailwind)
      • Experience building developer tools and dashboards
      • RESTful API design and implementation
    • Infrastructure Skills
      • Systems programming experience with Rust
      • Infrastructure automation (Ansible, Terraform)
      • Container orchestration (Kubernetes)
      • Cloud platform expertise (GCP preferred)
      • Observability tools (Prometheus, Grafana)

      Nice to Have

      • Experience with GPU computing and ML infrastructure
      • Knowledge of AI/ML model architecture and training
      • High-performance networking implementation
      • WebSocket/real-time systems experience

      Growth Opportunity

      • Join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure
      • Believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions
      • Value potential over perfection - if you're passionate about democratizing AI development and have experience in either platform or infrastructure development (ideally both), we want to talk to you

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