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Modal

Forward Deployed Engineer - Systems

New York
Salary
$180K - $240K
Level
Mid
Work type
On-site · New York

Not stated in the posting: visa.

Open. First seen 14 March 2026.

Apply on the company's site →

About the role

Modal's standard text

About Us:
AI needs a new infrastructure layer. We're building it at Modal.

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.

We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.

Modal's standard text

Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

We're looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you'll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more — helping them design and ship production infrastructure on Modal's platform.

The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. You will:

  • Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal
  • Lead technical discovery and architecture sessions with prospective and existing customers
  • Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
  • Collaborate with Modal's product and sales teams, contributing to the platform as both an engineer and a product stakeholder
  • Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
  • Conduct technical demos, experiments, and proof-of-concepts that make Modal's infrastructure advantages tangible

Requirements:

  • 3+ years of professional software engineering experience
  • Hands-on experience with cloud platforms (AWS, GCP, Azure) — compute, storage, networking, and container orchestration (Docker, Kubernetes)
  • Familiarity with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
  • Strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership
  • Genuine interest in working directly with customers — you find it energizing to understand someone else's problem and help them solve it
  • Bonus: experience leading large-scale migration efforts, open-source contributions, or side projects you're proud of
  • Willing to work in-person in New York City, San Francisco, or Stockholm

What this role asks for

In most of Modal's ads

Seaborn

Named in most of its open postings, whatever the role.

72% of this description is written for the role. The rest is Modal's standard text, folded away below.

Read against Modal's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 24 open in Engineering. 7 were posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Seaborn (24 of 24), Linux (11 of 24), Linux Kernel (10 of 24), Serverless (8 of 24), LLM (7 of 24), Rust (7 of 24), Golang (4 of 24)

OTHER ROLES ON THIS TEAM

From the team and dates on Modal's own job board.

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