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techroles

Forward Deployed Engineer - Systems

Modal modal.com Open · verified Oct 24, 2026
On-site New York San Francisco Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at Modal. New York · full-time · $180,000–$240,000 base.

SalaryStated by Modal
$180,000 – $240,000
Base salary for this role, in USD per year, as published in the posting.
This role, from ModalOur estimate for the market: $157,500–$225,000Median $190,000
The range includes the market median of $190,000 for mid-level software engineering roles in New York.
Worked out from 229 postings that stated pay, median $190,000. Last updated Oct 24, 2026.
RoleSoftware Engineering
SeniorityMid-level
LocationNew York
WorkplaceOn-site
EmploymentFull-time
Base pay$180,000–$240,000
PostedSep 23, 2025 · 1y ago
Also hiring inSan Francisco
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Design and roll out large production workloads on Modal with AI companies and research labs
  • Run technical discovery with customers and map their needs into infrastructure designs
  • Plan moves from AWS, GCP or Azure to Modal’s serverless platform
  • Build demos, experiments and proofs of concept to show how the infrastructure works
  • Work with product and sales, shaping the platform while building relationships with technical leaders

What you bring

  • At least three years of professional software engineering work
  • Practical experience with a cloud platform, covering compute, storage, networking and container orchestration
  • Familiarity with distributed systems, data pipelines and infrastructure-as-code tools
  • You can discuss system design in depth with infrastructure teams and explain tradeoffs to technical leaders

Who this fits

This role suits an engineer who enjoys solving customer problems directly and working across infrastructure systems. You’ll work in person in New York City, San Francisco or Stockholm.

From the employer

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.


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.

What You’ll Work On:

  • 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 proofs of concept that make Modal’s infrastructure advantages tangible

You May Be a Fit If:

  • You have 3+ years of professional software engineering experience

  • You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes)

  • You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation)

  • You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership

  • You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it

  • You’re willing to work in person in New York City, San Francisco, or Stockholm

Nice-to-Have:

  • Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$180k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.