Here at Spellbrush, we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio — we're the team behind niji・journey. We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames. Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts. If you love turn-based tactics games, please consider applying!

The Unity Engineer Role:

We are looking for an experienced game engineer with strong C# and Unity skills. You will be working closely with a small, multidisciplinary team to build out our upcoming anime mobile tactics game.

You may be a good fit if:

You love Strategy RPGs

Our team draws tons of inspiration from titles like Fire Emblem, Final Fantasy Tactics, and X-Com. Our next title aims to bring the best of this genre onto the mobile screen.

And you also love the anime aesthetic

We're also huge anime fans if you haven't noticed.

You deeply understand Unity

We're looking for someone with 5+ years of programming experience and a high level of familiarity with Unity. A good candidate must have shipped at least one game with Unity (personal projects are great!) and have built up a sixth sense for what is the "happy path" in modern Unity development.

You're comfortable working on small, fast-paced teams

Working here will feel very much like a small indie studio: close-knit, with high ownership and flexibility.

You're excited about the potential of Generative AI

You'll also be working closely along some of the best AI researchers in the world. Part of working with our team will involve looking at our latest research results, and figuring out how to best apply it into the game. You will be at the literal cutting edge of what is possible with machine learning, art, and games.

At Spellbrush, we're pushing the boundaries of generative networks through our state-of-the-art diffusion text-to-image research. There's no shorted of interesting tech challenges here:

• Research: We make heavy use of Pytorch and JAX, and train large-scale models using both TPUs and GPUs. Our researchers spend each day developing and testing novel state-of-the-art diffusion models.
• Engineering: We make use of a lot of Elixir for real-time backend systems, Python for machine learning, and lots of simulation and game logic code written in C# via Unity. We also have tons of internal tools and apps written in Typescript, React, and RN.
• Infrastructure: We've done everything from building our own in-house GPU supercomputer, to scaling up massive inference clusters in our own datacenters, typically orchestrating via some unholy combination of SLURM, kubernetes, and NATS.