NYC, SF, Stockholm Remote (City) Full-time

Modal is hiring a Customer Engineer

About the Role

The Customer Engineer at Modal is an engineering role focused on improving the technical support experience for AI/ML customers. This role splits time equally between direct customer engagement and building platform improvements, automation, and tooling that scale across all users.

What You'll Do

  • Ship code that matters. Fix bugs, build features, and create automation that improves the experience for every Modal user — not just the one who reported the issue.
  • Work directly with customers. Help developers and ML engineers debug, optimize, and architect their workloads across Slack, email, and calls.
  • Build scalable systems. Design tooling, dashboards, and automated workflows that make support efficient at scale — delighting customers at the most important moments.
  • Close the feedback loop. Translate patterns you see in the field into concrete improvements — docs fixes, API changes, or new feature proposals.
  • Contribute to open source and technical content. Write examples, build demos, and publish content that helps the broader community succeed on Modal.

What We're Looking For

  • Accomplished in key areas. You bring depth in either low-level infrastructure or ML/AI, and you're not lost in the other.
  • Low-level infrastructure experience. Operating systems, file systems, networking, performance profiling, cluster management and distributed systems.
  • AI/ML engineering experience. Training models, optimizing inference, working with GPUs, or building ML infrastructure.
  • Automation mindset. Your instinct when you see a manual process is to eliminate it and you have the engineering background to make that happen.
  • Clear communicator. Can explain a systems issue to a customer, write a crisp bug report, and draft documentation, all while collaborating internally to ship improvements.

Technical Stack

  • GPU
  • containerization
  • distributed systems
  • file systems
  • networking
  • performance profiling
  • cluster management

Team & Environment

  • Fast-growing team
  • Engineering team including creators of open-source projects, academic researchers, olympiad medalists, and experienced leaders
  • Fast-growing
  • Engineering excellence
  • Open-source contribution
  • Academic and technical depth
  • Customer-centric innovation
  • Early-stage impact

Benefits & Compensation

  • Opportunities to grow within the company
  • Joining one of the fastest-growing AI infrastructure organizations at an early stage

Work Mode

  • Local positions in NYC
  • Local positions in SF
  • Local positions in Stockholm

Modal is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

Required Skills
GPUcontainerizationdistributed systemsfile systemsnetworkingperformance profilingcluster managementlow-level infrastructureAI/ML engineeringautomationsystems troubleshootingcustomer communicationdocumentation GPUcontainerizationdistributed systemsfile systemsnetworkingperformance profilingcluster managementlow-level infrastructureAI/ML engineeringautomationsystems troubleshootingcustomer communicationdocumentation
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About company
Modal
Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference.
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Posted 6 months ago