
AI Infrastructure Developer
4 days ago
We're building a fault-tolerant control plane that makes AI compute feel seamless, distributed and incredibly efficient. This is an opportunity to work with high-scale distributed systems and real-time infrastructure.
- Design highly available Elixir-based control systems for scheduling, monitoring and scaling AI workloads.
- Develop fault-tolerant distributed systems for orchestration, state management and billing.
- Integrate multiple clouds, on-prem clusters and networking layers into a unified AI infrastructure.
- Optimize real-time data pipelines and event-driven architectures.
- Implement security best practices in authentication, encryption and API access control.
- Work closely with AI researchers to create developer-friendly interfaces and APIs.
- Deep experience with Elixir, Erlang or Gleam and OTP (or similar functional programming with Haskell, Scala, F#, etc.) for distributed and fault-tolerant systems.
- Experience building event-driven architectures (examples include RabbitMQ, Kafka, NATS, etc.).
- Strong understanding of distributed databases and state management (PostgreSQL, ETS, Mnesia, Redis).
- Knowledge of cloud and multi-cloud integrations (AWS, GCP, Azure).
- Experience with securing Elixir applications.
- Understanding of AI/ML compute environments (GPUs, CUDA, NCCL, Slurm, Horovod).
- DevOps experience.
Benefits:
- Fast-paced environment with weekly deployments and daily cluster scale-up tests.
- Rapid iteration and release cycles based on direct user feedback.
- Collaborative team culture with weekend hackathons and innovation drives.
- Opportunities for travel to attend events, conferences and meet clients.
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