# Principal Engineer, Enterprise AI — Technical Fellow Office at Unity

- Company: Unity
- What the company does: Develop, deploy, and grow with Unity, the world’s leading 3D game engine. Build for all major platforms from mobile, to PC and console as well as XR, acquire players, monetize your game, and power industrial applications. Backed by Sequoia.
- Company website: https://www.unity3d.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: New York, NY, USA
- Work setup: On-site
- Pay: $228K to $342K base salary per year (USD)
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://unitytech.wd1.myworkdayjobs.com/en-US/Unity/job/New-York-NY-USA/Principal-Engineer-in-Technical-Fellow-Office_JOBREQ-2616258
- Page: https://www.1752.vc/careers/jobs/unity-principal-engineer-enterprise-ai-technical-fellow-office/

## About the role

This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

## What they're looking for

- Drive adoption : Get platforms and tooling used by teams outside your own. Understand why a team resists, and do the work to earn trust rather than mandate it
- Define quality for AI : Own how we measure correctness in systems where a wrong answer looks like a right one. Build the evaluation methods and gates that catch degraded agent and model behavior before users do
- Own AI cost as an engineering discipline : Routing, caching, model selection, and telemetry that make spend visible and attributable — so cost decisions are made with data, not after the invoice
- Track the frontier : Spend real time outward — evaluating emerging models, harnesses, and techniques, maintaining a network of peers, bringing back a point of view on what matters and what doesn't
- Advise & de-risk : Guide complex technical decisions, surface blind spots and the novel risks of autonomous systems, and help teams adopt AI pragmatically rather than by hype
- Build where it matters : Prototype POCs that validate strategic bets, and contribute hands-on where your involvement changes the result — including inside other teams' codebases