Principal Computer Vision Engineer

Role Overview

As a Principal Computer Vision Engineer at Muybridge, you'll take on the problems the rest of us get stuck on. Our technology turns the feeds from ordinary cameras into something no camera ever films — views from places no camera stands, reality reshaped in ways no lens can capture, all in real time. The further we push it, the harder the problems get. That's where you come in.

This is a role for someone who has spent years at the frontier of computer vision and wants to spend the next ones solving problems that don't have textbook answers. You'll set technical direction on our hardest research questions, prototype the approaches no one has tried yet, and turn ideas that look impossible on paper into algorithms running live in production. When the team hits a wall, you're the person who sees the way through — or invents one.

We're equally interested in what you'll change. You'll bring a perspective we don't have, and we want you to use it: to look at how we model, calibrate, reconstruct, and render, and tell us where we're wrong and how to do it better. The best principal engineers don't just answer the questions we're asking — they change which questions we ask.

You'll work as a peer to our most experienced engineers in a tight-knit R&D team of 5–10, most with backgrounds from both industry and academia. Curiosity runs deep here: ideas get challenged at the whiteboard regardless of who proposed them, and code gets reviewed by people who take pride in how it's built. You'll have the standing to shape that conversation and the freedom to own problem areas end-to-end — from the research question to the algorithm to the production code. We don't hand out tickets; we agree on what matters and trust you to figure out how.

We pride ourselves on our tech stack, working in a modern code base consisting almost purely of Rust — from GPU programming to front-end development. We're pragmatic about it: Rust isn't the answer to everything, and part of your judgment is knowing when to reach for something else. We invest in learning and growth, whether that means attending conferences around the world, trying out new technologies just to see what they can do, or an annual team trip abroad — recent years have taken us to Thailand for team building and deep, distraction-free work. In fact, one of our most successful algorithms was invented on one of those trips.

The work you and your team deliver will reach millions of screens worldwide. Muybridge is at an exciting point in a company's life: the transition from startup to scale-up. The technology is proven and trusted in real productions, but the company is still young — and almost everything ahead is still being shaped. For someone with the experience to shape it, there's no better time to join.

What We’re Looking For

We are looking for an exceptional computer vision engineer to take on the hardest problems in our field. This is a senior role, and the bar is high — but we care far more about depth and originality than about a specific set of qualifications.

Some guidelines on what we're looking for:

A PhD in computer vision, robotics, cybernetics, or a related field is preferred — but a master's degree paired with deep, hands-on experience is equally welcome

Many years working at the frontier of computer vision, in research, industry, or both

Deep expertise in multi-view geometry, 3D reconstruction, and the mathematics underneath them

A track record of original contributions — papers, patents, shipped systems, or algorithms others now build on

The judgment to know which hard problems are worth solving, and which aren't

The ability to turn research that looks impossible into robust, production-grade code

A collaborative instinct — you make the people around you better, and you're as comfortable being challenged as challenging others

Experience with one or more of the following is highly valued:

Novel view synthesis, NeRF, Gaussian splatting, or state-of-the-art 3D reconstruction

Camera calibration and the geometry of real, imperfect optical systems

Deep learning in practice — architectures, training, and optimization

Whether you're in academia and ready to see your ideas run in production, or a senior engineer who wants harder problems than your current role offers, we'd like to hear from you.

What Makes This Role Exciting

A chance to define how we solve our hardest research problems, with impact across industries — from video conferencing, content production, and sports to healthcare and industrial applications

The standing to shape technical direction and change how the team thinks, not just what it ships

Exceptionally skilled and passionate colleagues who will meet you at your level

The freedom to own hard problems end-to-end, with no layers between you and the people who can unblock you

Support for continuous learning — international conferences and room to explore new ideas

The opportunity to travel internationally, working directly with customers across markets and industries

A competitive compensation package

Incentive programs for company ownership — a real stake in what we're building