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Member of Technical Staff, Platform

San Francisco, CAHybridFull TimeStaffPosted 1 month ago

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Required skills

  • customer-facing control plane
  • managed services
  • compute platform
  • AI workloads
  • infrastructure platform
  • elastic compute
  • developer-friendly interfaces
  • service control planes
  • customer APIs
  • deployment tooling

Nice to have

  • managed cloud services
  • built distributed systems
  • control planes
  • operators
  • controllers
  • Kubernetes internals

Role summary

Mount Thor is seeking a software engineer to develop the customer-facing control plane and managed services for their AI compute platform, which makes Apple hardware available at datacenter scale. The role involves designing, building, and operating services like managed Kubernetes, control planes, and customer APIs. Responsibilities include automating service lifecycles, integrating with core infrastructure systems, improving service reliability and performance, and utilizing coding agents in development and operations. The ideal candidate has experience with distributed systems, Kubernetes, and programming in languages like Go, Python, or Rust, with a focus on building robust, multi-tenant infrastructure products.

Mount Thor is hiring a software engineer to build the customer-facing control plane and managed services for our compute platform.

Who We Are

Mount Thor makes Apple hardware (macOS and Apple Silicon) available and performant at datacenter scale for AI workloads. We take consumer hardware and build the infrastructure platform around it to enable consumption as elastic compute exposed through developer-friendly interfaces. Our customers use us to develop computer-use model capabilities, deploy long-running agents, and accelerate agentic engineering.

The Team

The role owns both the managed services customers use and the systems Mount Thor engineers use to build and operate them. This includes Kubernetes, service control planes, customer APIs, deployment tooling, observability, and operational workflows.

The team owns service lifecycle, workload orchestration, tenancy, and integrations with fleet, networking, storage, identity, and security. Its scope includes managed Kubernetes and other services for deploying AI workloads.

In this role you will

  • Design, build, and operate managed Kubernetes and other customer-facing infrastructure services.

  • Build control-plane services, Kubernetes operators, and controllers.

  • Automate managed-service lifecycle, including cluster creation, version upgrades, configuration changes, and safe deletion. Coordinate with Fleet for the underlying capacity.

  • Build APIs and tools that customers use to deploy, manage, and monitor workloads.

  • Integrate orchestration with compute, networking, storage, identity, and security systems.

  • Improve service availability, isolation, performance, observability, and upgrade safety.

  • Work directly with customers and Product to define and deliver new platform capabilities.

  • Use coding agents throughout design, implementation, testing, debugging, and operations.

  • Participate in on-call and own the systems you build in production.

You might thrive in this role if you have

  • Built customer-facing infrastructure products or managed cloud services.

  • Experience building distributed systems, control planes, operators, or controllers.

  • Deep knowledge of Kubernetes internals and cluster lifecycle management.

  • Strong programming skills in Go, Python, Rust, or a similar language.

  • Strong knowledge of Linux, containers, networking, storage, and security.

  • Experience building reliable multi-tenant services and public APIs.

  • Led complex infrastructure work from design through production.

  • Experience using coding agents to build production software.

Bonus Skills

  • Built a managed Kubernetes, Slurm, inference, database, or container service.

  • Built Kubernetes schedulers, operators, admission controllers, CNI plugins, or CSI plugins.

  • Worked on bare-metal, HPC, or AI compute infrastructure.

  • Built private networking, workload isolation, or enterprise identity features.

  • Operated macOS or Apple Silicon infrastructure at scale.

  • Built infrastructure that software agents can operate safely.

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