About the Role
Join the engineering team at an AI research infrastructure startup to design, build, and scale the systems that support research workloads. You will own key infrastructure capabilities across cloud compute, distributed systems, storage, and experiment orchestration, helping improve reliability, performance, and resource efficiency as the platform grows.
What You'll Do
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Build and operate cloud compute infrastructure for large-scale research workloads.
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Design and optimize distributed workflow scheduling to improve performance and control costs.
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Develop recovery procedures for worker interruptions, application crashes, and partial results while preventing duplicate work.
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Improve monitoring, logging, and diagnostic tools so the team can identify and resolve system failures quickly.
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Partner with researchers and engineers to develop new platform capabilities and shape the underlying architecture.
What We're Looking For
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5 to 10+ years of relevant experience building or operating infrastructure and production systems.
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Strong Python and Linux skills, including scripting, process management, and debugging.
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Experience operating services on AWS or another major cloud platform, including compute, storage, networking, and access management.
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Understanding of distributed systems concepts such as queues, timeouts, retries, idempotency, and duplicate request handling.
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Experience investigating production issues and balancing reliability, complexity, and cost.
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Familiarity with infrastructure as code tools such as Terraform and monitoring platforms such as CloudWatch, Prometheus, or Grafana.
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Experience with virtualization, VM images and snapshots, desktop application automation, batch scheduling, experiment orchestration, or sandboxing untrusted code is a plus.
Compensation & Benefits
Competitive compensation and equity are offered. Visa sponsorship is available.
Location
On-site in Zürich, Switzerland.
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