Modal is the leading serverless platform for AI workloads — GPU autoscaling, container cold-start optimization, and a Python-first developer experience. Founded by Erik Bernhardsson. Series B in 2024. The interview emphasizes systems engineering at the OS/runtime level and the engineering of cold-start and resource scheduling.
Process
Recruiter screen → 60-minute systems coding (Rust or Go) → onsite virtual: 2 coding, 1 system design, 1 craft deep-dive, 1 behavioral. Cycle: 3–4 weeks. Senior+ candidates may get a take-home.
What they actually ask
- Design a container scheduler that achieves sub-second cold start
- Design a GPU pool with multi-tenant fairness
- Design a Python-package caching system
- Coding: systems-flavored — file systems, concurrency, lock-free queues
- Behavioral: ownership, taste, working in a small team
Levels and comp (2026)
- SE: $190K–$250K total (cash + meaningful early-stage equity)
- Senior SE: $250K–$330K total
- Staff: $330K–$450K total
Prep priorities
- Be fluent in Rust (most of the runtime) and Python (SDK/customer surface)
- Understand container internals (cgroups, namespaces, layered FS)
- Brush up on GPU scheduling and CUDA basics
Frequently Asked Questions
Is Modal remote-friendly?
Hybrid in NYC (HQ); some fully-remote senior+ engineers within US.
How does Modal compare to Replicate or Anyscale?
Replicate is model-hosting-first, Modal is compute-first (any Python workload), Anyscale is Ray-based distributed compute. Modal pays competitively for early-stage and offers the most equity upside.
What is the engineering culture?
Small, technically dense, taste-driven. High autonomy. Long uninterrupted work blocks expected.