Primeintellect
Member of Technical Staff - Compute Platform
San Francisco · Staff+
Sponsorship not specifiedDetected 13 days ago
TypeScriptPythonRustReactNext.jsTailwind CSSFastAPIBackend DevelopmentFull-Stack DevelopmentDatabricksGCPCloud PlatformsKubernetesTerraformAnsiblePrometheusGrafanaDatadogAPI DevelopmentRESTWebSocketsMachine LearningResearch
About the role
- The next generation of AI companies, enterprises, and research teams do not just need more GPUs.
Responsibilities
- the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
- Collaborate with the engineering team to design and implement backend features.
- Enhance our platform's REST APIs and backend services to support new capabilities and improve overall performance.
Requirements
- Proficiency in Python for developing automation scripts, REST APIs, and backend support tools.
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
- WebSocket/real-time systems experience
- 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.
Skills
- Hands-on experience with Kubernetes and cloud platforms (GCP preferred).
- 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)
Company info
- 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.
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This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.