Remote Game Simulation Programming Jobs in Seattle, WA

• Own the technical content stack. End to end: asset pipelines, procedural tooling, material systems, performance budgets, and content validation that turn an artist's intent into a production-ready scene.

• Build and ship tools. Deliver tooling in Unreal Engine and Houdini that makes the content team measurably faster. We care less about the elegance of the tool and more about whether artists are using it next quarter to ship work they couldn't ship before.

• Drive AI-augmented workflows. Bring modern techniques into content creation: gaussian splat scene reconstruction, neural texture synthesis, ML-assisted asset generation, and the next wave of techniques as they emerge. Hold an opinionated view on where these tools belong in a production pipeline and where they don't.

• Optimize real-time performance. Profile and optimize across GPU and CPU in Unreal Engine, supporting both interactive use and large-scale batch simulation. Identify bottlenecks, codify the fixes as patterns, and make sure the team isn't relearning the same lessons every six months.

• Work across disciplines. Operate as connective tissue across content, rendering, simulation, ML, and product. Translate between disciplines, broker tradeoffs between content fidelity and runtime performance, and make sure the systems we build hang together.

• Set the craft bar. We're not asking you to manage people, but we expect you to lead by example on the craft side. Your work should make the people around you better at theirs.

• Move quickly. Ship into production early and often. Many of the problems you'll work on don't have a known answer—your job is to scope the unknown, prototype something that works, and harden it from there.

• Use AI tooling actively. LLM-assisted coding, scripting, and asset generation can meaningfully accelerate the work when applied well. We expect fluency here and active contribution to the team's practice.

• Experience. 8+ years as a technical artist or in a closely adjacent role, with at least one shipped product on a real-time, physically based rendering pipeline.

• Unreal Engine 5 expertise. Expert-level proficiency including materials, Blueprints, performance profiling, the asset pipeline, and the engine's deeper rendering features. You can debug a frame budget, fix a broken shader, and ship a Blueprint utility in the same afternoon.

• Programming fluency. Productive across some combination of Python, C++, HLSL, VEX, and shell. You reach for code rather than manual process whenever possible.

• Production speed. Demonstrated ability to take open-ended content or workflow problems, scope them yourself, and ship working systems the team adopts—without extensive hand-holding.

• AI workflow fluency. Working command of LLM-based coding tools, generative content tooling (e.g., diffusion models, ComfyUI), and the broader category of AI tools reshaping technical art. You stay on top of where these tools are heading and bring that thinking into the team's practice.

• Communication. Equally comfortable talking shaders with rendering engineers, performance with simulation engineers, and tradeoffs with non-technical product partners.

• Generalist disposition. Able to move pragmatically across content creation, tooling, rendering, performance, and pipeline. We're not looking for someone narrowly specialized in one corner of technical art.

• Neural scene reconstruction. Hands-on experience with gaussian splatting, NeRFs, or similar techniques in a production or near-production setting.

• Procedural content generation. Experience in Houdini or equivalent (Maya, Blender, 3DS Max, Unreal PCG), including authoring HDAs and integrating them into a real-time pipeline.

• Sensor simulation. Familiarity with RGB cameras, LiDAR, radar, and the visual artifacts that matter to autonomous-system perception models.

• Distributed/cloud pipelines. Experience with distributed rendering or cloud-based content pipelines.

• Computational background. Mathematics, physics, or computational graphics that lets you reason from first principles when a problem demands it.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.