About The Role Before an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world—it has to prove itself in ours. Parallel Domain builds the platform where the next generation of autonomy and Physical AI is tested, validated, and pushed to its limits in high-fidelity virtual simulations that would be impossible, dangerous, or prohibitively slow to replicate in the real world.Our simulation team is the engine room: they build the simulation core and advanced rendering pipeline that make all of this possible. We’re looking for a Build & Release Engineer to own the infrastructure that keeps this team moving fast. You’ll be the person who ensures that a C++ simulation change compiles cleanly across Linux and Windows, that an Unreal Engine upgrade doesn’t break downstream pipelines, that every release candidate is rigorously validated, and that builds that used to take an hour now take fifteen minutes. This is a high-leverage role where your work directly accelerates how quickly we can ship the platform our customers depend on to make autonomy safe.

Responsibilities

Required Qualifications

Preferred Qualifications

• Experience building and shipping Unreal Engine projects in CI/CD, including build automation, content cooking, and plugin compilation. If you haven’t worked with Unreal specifically, you should have extreme curiosity and the self-direction to dive into an unfamiliar engine or toolchain and become productive quickly.
• Experience at a simulation, game-engine, or robotics company where builds involve large binary assets, content cooking, and multi-gigabyte artifacts.
• Familiarity with Python scripting for build automation and tooling, and with gRPC/Protobuf code generation in CI pipelines.
• Experience migrating pipelines between CI systems or managing hybrid CI environments.

$130,000 - $165,000 a year

What Makes a Great Candidate

You treat build infrastructure as a product. You get frustrated when a build takes 45 minutes and won’t rest until it’s under 15. You think about developer experience as much as pipeline reliability. You’re comfortable diving into a Jenkinsfile one moment and debugging a CMake module the next. You thrive in an environment where the codebase spans C++, Python, Unreal Blueprints, Docker, and Kubernetes—and where “the build” means everything from compiling a physics simulation to cooking a 3D world into a renderable package.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.