Senior Member of Technical Staff, Infrastructure

Join the engineering team at an AI/ML research company to build and scale infrastructure for research workloads. You will own cloud compute, distributed systems, storage, and experiment orchestration, helping improve the platform's reliability, performance, and resource efficiency.

• Build and manage cloud compute infrastructure that supports research workloads at scale.

• Design and optimize distributed workflow scheduling for performance and cost efficiency.

• Develop recovery safeguards for worker interruptions, application crashes, and partial results while preventing duplicate work.

• Improve monitoring, logging, and diagnostic tools to help identify and resolve system failures.

• Partner with researchers and engineers to develop capabilities and shape infrastructure architecture.

• 5 to 10+ years of relevant experience operating production infrastructure or services.

• Strong Python and Linux skills, including scripting, process management, and debugging.

• Experience with AWS or another major cloud platform, including compute, storage, networking, and access management.

• Understanding of distributed systems concepts such as queues, timeouts, retries, and idempotency.

• Experience investigating production issues and balancing reliability, complexity, and cost.

• Familiarity with Terraform or similar infrastructure-as-code tools and monitoring platforms such as Cloud Watch, Prometheus, or Grafana.

• Experience with virtualization, VM images and snapshots, desktop application automation, batch scheduling, experiment orchestration, or sandboxing untrusted code is a plus.

Competitive compensation, equity, health, dental, and vision coverage, plus visa sponsorship and relocation support.

This is a full-time, on-site role in Zürich, Switzerland.