Role ImpactThis 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
- 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 ResponsibilitiesInfrastructure 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 RequirementsInfrastructure 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 training
- High-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 OpportunityYou'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.
Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.
