Prime Intellect

Member of Technical Staff - Sandbox Platform

Prime Intellect
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2 months ago

Base Salary

$150k - $300k/yr

Responsibilities

  • Build a distributed control plane that efficiently places sandbox workloads across bare-metal CPU and GPU workers.
  • Develop node-level execution systems that launch and supervise secure microVMs and coordinate storage and networking.
  • Own the sandbox APIs, SDK, and CLI and evolve them for reinforcement learning and agentic workflows at scale.
  • Collaborate with research, applied research, customers, and engineering teams to take systems from discovery and design through production adoption.
  • Help set technical direction and engineering practices while building high-performance, fault-tolerant infrastructure.

Requirements

  • 5+ years of experience building production distributed systems from the ground up.
  • Strong systems programming experience; production Go is a major advantage, with Rust, C++, or comparable systems-language experience also valued.
  • Ability to lead the design and implementation of high-performance, fault-tolerant systems.
  • Strong Linux systems fundamentals and depth in at least one of virtualization, networking, storage, or workload isolation.
  • Experience investigating systems-performance bottlenecks involving memory behavior, concurrency, networking, or resource utilization.
  • Experience building, deploying, and operating production systems at scale.

Benefits

  • Cash compensation of $150-300k with significant equity incentives.
  • Based in the San Francisco office.
  • Full visa sponsorship and relocation support.
  • Professional development budget for courses and conferences.
  • Regular team off-sites and conference attendance.
  • Opportunity to shape core infrastructure for frontier AI research and contribute to open-source infrastructure.

Tech Stack

Categories

Prime Intellect

About Prime Intellect

51-200 employees

Prime Intellect builds a full-stack platform for training frontier AI models, giving enterprises access to distributed compute and agentic training infrastructure to develop their own systems. The company operates as a platform and open research lab, with customers leveraging its infrastructure rather than building it in-house. Headquartered in San Francisco and privately held, it has raised a Series A round backed by investors including Founders Fund and NVIDIA.

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