Member of Technical Staff - Sandbox Platform

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

Benefits offered by this job

Cash compensation range: $150-300k

Flexible work arrangement (SF office +

Full visa sponsorship and relocation

Professional development budget for-c}

Job summary

Prime Intellect AI is building an open frontier AI platform designed for scalable, secure and interoperable AI workloads. This hybrid role covers both the underlying sandbox infrastructure and the developer-facing platform for AI workload management.

You will design, implement and optimize distributed systems in Go and Rust, work on cloud resources, container orchestration, and tools to monitor and control AI jobs at scale, with a strong emphasis on performance and reliability.

Qualifications

• Proficient in Rust systems programming and low-level software design.
• Strong Linux systems knowledge including networking, namespaces, and performance tuning.
• Experience with virtualization (VMs, hypervisors) and resource management.
• Infrastructure automation using Ansible and Terraform.
• Container orchestration with Kubernetes.
• Cloud platform expertise, preferably GCP.
• Observability tooling with Prometheus and Grafana.
• Backend Python development with FastAPI (async).
• Frontend tooling with TypeScript, React/Next.js, Tailwind.
• Experience building developer tools and dashboards.
• RESTful API design and implementation.

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 systems for heterogeneous hardware (CPU, GPU, TPU).
• 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.

Skills

Rust

Linux

Virtualization

Go

Ansible

Terraform

Kubernetes

GCP

Prometheus

Grafana

Python

FastAPI

TypeScript

React/Next.js

Tailwind

REST APIs

Tools

Ansible

Terraform

Kubernetes

Go

Job description

Own Your Intelligence

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.

Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.

Role Impact

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

1. The underlying sandbox infrastructure that powers our training systems
2. Our developer-facing platform for AI workload management

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
• Infrastructure automation (Ansible, Terraform)
• Container orchestration (Kubernetes)
• Cloud platform expertise (GCP preferred)
• Observability tools (Prometheus, Grafana)

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

Nice to Have

• Experience with GPU computing and ML infrastructure
• Knowledge of AI/ML model architecture and trainingHigh-performance networking implementation
• Open-source infrastructure contributions
• WebSocket/real-time systems experience

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

Growth Opportunity

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.