Member of Technical Staff - Sandbox Platform

Prime Intellect; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Professional development budget

Team off-sites

Conference attendance

Job summary

Prime Intellect seeks a senior engineer to advance its open frontier AI infrastructure and developer platform. You will build distributed sandbox infra powering training systems and create intuitive web interfaces for AI workload management.

Key tech includes Rust, Linux, Prometheus/Grafana, TypeScript, React/Next.js, and RESTful APIs. Hybrid role with SF office preferred, visa sponsorship and relocation support offered.

Qualifications

• Proficient in Rust and Linux systems programming.
• Strong understanding of distributed infra and performance tuning.
• Experience with virtualization and container ecosystems.
• Familiarity with observability tools like Prometheus and Grafana.
• Frontend and backend toolchain: TypeScript, React, Next.js, Tailwind, REST APIs.

Responsibilities

• Design and implement distributed orchestration infrastructure in Go and Rust.
• Build high-performance networking and coordination components.
• Create infrastructure automation pipelines with Ansible.
• Manage cloud resources and container orchestration.
• Implement scheduling for heterogeneous hardware (CPU/GPU/TPU).
• Develop web interfaces and REST APIs for workload management.

Skills

Rust

Linux

Networking

Observability

TypeScript

React

Next.js

Tailwind

RESTful APIs

Tools

Ansible

Docker

VMs/Virtualization

Prometheus

Grafana

Job description

Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.

Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.

Role Impact

This is a hybrid role spanning both our infrastructure layers and developer platform. You'll work on two key areas:

The underlying sandbox infrastructure that powers our training systems

You will work on a distributed system with performance engineering at its core. The role will draw on the full breadth of your systems skills, from deep Linux kernel topics to high-level distributed system design. Expect your low-level systems fortitude to be pushed as you build infrastructure that remains fast, robust, and reliable at scale.

Core Technical Responsibilities

Infrastructure Development

Design and implement distributed orchestration infrastructure in Go and 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)

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

Technical Requirements

Infrastructure Skills

Systems programming experience with Rust

Strong Linux systems knowledge, including networking, namespacing, and performance tuning

Virtualization experience, including VMs, hypervisors, and low-level resource management

Observability tools (Prometheus, Grafana)

Platform Skills

Modern frontend development (TypeScript, React/Next.js, Tailwind)

Experience building developer tools and dashboards

RESTful API design and implementation

Nice to Have

Experience with GPU computing and ML infrastructure

Knowledge of AI/ML model architecture and training

High-performance networking implementation

Open-source infrastructure contributions

What We Offer

Cash Compensation Range of $150-300k with significant equity incentives

Flexible work arrangement (San Francisco office preferred, remote possible for exceptional candidates)

Full visa sponsorship and relocation support

Professional development budget for courses and conferences

Regular team off-sites and conference attendance

Opportunity to shape the future of decentralized AI development

You’ll join a team of experienced engineers and researchers working on cutting‑edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.

We 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.