Note: The job is a remote job and is open to candidates in USA. PYROIS provides an interface to global GPU capacity by aggregating compute across neoclouds and data centres. The Founding Engineer will build the orchestration backend, connect infrastructure providers, operate customer workloads, extend compute management capabilities, and develop telemetry and future MLOps integrations.
Responsibilities
- Build the matchmaker. Scoring, constraints, the audit trail behind every placement, and the explanation when nothing fits
- Connect data centres. Bring new providers and their capacity onto the platform, from their APIs to the networking
- Keep customer workloads running. Own orchestration, scaling and operations, so a placed workload starts, stays up and stops cleanly
- Extend the MCP surface so agents can provision, quote and manage their own compute
- Start the telemetry loop. Collect what each placed workload actually needed, so the next placement is cheaper
- Later: MLOps integrations (Ray, Kubeflow, MLflow)
Skills
- • You've built and run orchestration or scheduling systems in production
- • You're strong in Go and comfortable in other languages when the job needs them
- • You've operated infrastructure at scale: capacity, incidents, on-call
- • You're hands-on, and you talk to users and stakeholders directly
- • Built and operated orchestration or scheduling systems in production (for example Kubernetes, Nomad or an in-house scheduler)
- • Production experience writing Go
- • Operated infrastructure at scale: capacity planning, incident response, on-call
- • Worked directly with users, customers or stakeholders on technical problems
- • Built placement, matching or scheduling logic (bin-packing, constraints, auctions)
- • Integrated cloud, bare-metal or data centre providers through their APIs, including networking
- • Experience with ML or inference workloads in operations
- • Works in other languages besides Go, such as Python or TypeScript
Benefits
- Generous early-stage equity through our employee stock option pool
- 25 days of paid time off
- Regular team off-sites
- The AI tools you work with, paid for
- Your choice of laptop and equipment
- Flexible working hours
- Fully remote work for applicable roles
- Travel paid for regular meetings with the whole team
- Wherever you live, you get a local employment contract, payroll and benefits under your country's law, without us opening a company there.
Company Overview