# Member of Technical Staff - Sandbox Platform

**Company:** [Prime Intellect](https://hotfix.jobs/companies/prime-intellect)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $150k – $300k/yr
**Skills:** Go, Rust, Linux, Networking, Ansible, Terraform, Kubernetes, GCP, Prometheus, Grafana, Python, FastAPI, TypeScript, React, Next.js
**Posted:** 2026-07-08

> Build distributed sandbox infrastructure and developer-facing AI workload platforms across systems, backend, and frontend layers. The role requires strong Rust and Linux systems expertise alongside Python backend and modern web development experience.

## Job Description

## 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, including CPU, GPU, and TPU.
- Build 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.

## Requirements
- Systems programming experience with Rust.
- Strong Linux systems knowledge, including networking, namespacing, and performance tuning.
- Virtualization experience with VMs, hypervisors, and low-level resource management.
- Experience with infrastructure automation using Ansible and Terraform.
- Experience with container orchestration using Kubernetes.
- Cloud platform expertise, preferably GCP.
- Experience with observability tools such as Prometheus and Grafana.
- Strong Python backend development experience, including FastAPI and asynchronous programming.
- Modern frontend development experience with TypeScript, React/Next.js, and Tailwind.
- Experience building developer tools and dashboards.
- RESTful API design and implementation experience.

## Nice-to-haves
- GPU computing and ML infrastructure experience.
- Knowledge of AI/ML model architecture and training.
- High-performance networking implementation experience.
- Open-source infrastructure contributions.
- WebSocket and real-time systems experience.

## Compensation and Benefits
- Cash compensation range of $150,000–$300,000, plus significant equity incentives.
- Flexible work arrangement with the San Francisco office preferred; remote work possible for exceptional candidates.
- Visa sponsorship and relocation support.
- Professional development budget for courses and conferences.
- Team off-sites and conference attendance.

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