Software Engineer - New Grad

Posted Yesterday
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New York, NY, USA
Hybrid
Entry level
Artificial Intelligence • Productivity • Software • Design
The Role
Full-stack new-grad engineer role: ship features across Python backend and TypeScript frontend, optimize a WebGPU real-time rendering engine, work on AI-powered systems (agents, experimentation, evaluation), build internal tools and infrastructure, and take projects end-to-end while rotating across the stack.
Summary Generated by Built In
What you’ll work on

You’ll be treated as a full engineer, not a trainee. In this role, you will:

  • Ship production features across our Python backend and TypeScript frontend

  • Help build and optimize parts of our real-time rendering engine (WebGPU)

  • Work hands-on with AI-powered systems, including agents, experimentation, and evaluation pipelines

  • Build internal tools and infrastructure that dramatically increase team velocity

  • Take projects from idea → implementation → launch, with direct exposure to product decisions

You’ll rotate naturally across the stack as you grow, and can lean into the areas you’re strongest or most curious about.

Who we’re looking for

We’re optimizing for slope, not polish - but the slope should be steep.

You’ll likely be a strong fit if you:

  • Are a recent or soon-to-be graduate in Computer Science and have a strong foundation in programming in Python and/or Typescript

  • Have shipped production-grade software

  • Have built meaningful projects beyond assignments (startups, research, open source, hackathons, deep side projects)

  • Can orchestrate multiple coding agents at once

  • Are always trying new products and services, and have strong opinions about what you like and dislike

  • Learn new systems quickly and enjoy tackling problems without clear instructions, and care deeply about quality, craft, and impact

  • Bonus: You're interested in starting a company in the future (two of our founders were early engineers at startups before they started their own companies)

Growth path

We’re explicit about growth because we expect it.

First 3 months

  • Ramp up across the codebase and core systems

  • Ship multiple user-facing features

  • Own well-scoped projects end-to-end

6–12 months

  • Become a go-to contributor in at least one major area (frontend, backend, rendering, or AI systems)

  • Independently design and ship complex features

  • Influence technical and product decisions

Beyond

  • Grow into a senior-level engineer at startup speed

  • Take ownership of large systems or product areas

  • Option to mentor future hires or lead initiatives as the team grows

Why this is an exceptional place to start your career

Unmatched learning velocity
You’ll work directly with founders who built Dover (raised $23M) and Heap (valued at $960M, acquired). This is rare, high-leverage mentorship.

Early, real ownership
We stay intentionally small. Every engineer shapes the product and company direction, including new grads.

High bar, low ego
You’ll be surrounded by people who care deeply about excellence, move fast, and value good ideas over hierarchy.

Career-defining exposure
You’ll learn how elite startups actually get built: technical tradeoffs, product judgment, and execution under real constraints.

Speed & impact
You’ll ship more in days than most engineers ship in months and years.

Skills Required

  • Recent or soon-to-be graduate in Computer Science
  • Strong foundation in programming in Python and/or TypeScript
  • Experience shipping production-grade software
  • Built meaningful projects beyond assignments (startups, research, open source, hackathons, deep side projects)
  • Ability to orchestrate multiple coding agents at once
  • Learns new systems quickly and tackles problems without clear instructions
  • Interest in starting a company in the future
  • Care deeply about quality, craft, and impact
Am I A Good Fit?
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The Company

What We Do

Moda is an AI-powered design agent that helps professionals and teams create beautiful, brand-aligned slides and visual assets on a fully editable canvas. By leveraging AI agents and a real-time rendering engine, the platform enables users to develop high-quality visual content that adheres to brand guidelines, significantly increasing design velocity for teams and individual professionals.

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