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← Modal Labs

Forward Deployed Engineer - Systems

Modal Labs · New York · San Francisco

CHECKED 14H AGO

Infrastructureonsite$180k–$240k
Apply on the lab’s site ↗

At a glance

Highlights

  • Partner with leading AI companies to architect massive-scale production workloads.
  • Help build the new infrastructure layer powering low-latency inference at scale.
  • Work at the intersection of deep infrastructure and direct customer impact.

What they offer

  • Equity

Ideal candidate

Curious, customer-energized engineer who loves deep infrastructure problems and translating complex tradeoffs for technical leaders. You thrive partnering directly with frontier AI teams to solve hard, real-world challenges.

Requirements

  • 3+ years of professional software engineering experience
  • Hands-on experience with cloud platforms (AWS, GCP, Azure) including compute, storage, networking and container orchestration (Docker, Kubernetes)
  • Familiarity with distributed systems architecture, data pipelines and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
  • Strong communicator able to go deep on systems architecture and articulate tradeoffs to technical leadership
  • Genuine interest in working directly with customers to understand and solve their problems

Lab profile

About Modal Labs

Serverless cloud infrastructure for AI workloads with instant GPU compute.

What they build

  • Serverless GPU cloud platform
  • Python SDK
  • Cloud sandboxes

Known for

  • Systems engineering at scale
  • ML performance optimization
  • Developer-first experience
More about Modal Labs →
Apply on the lab’s site ↗