Senior Linux Graphics Engineer

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Parallel Domain

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔌 API

🚘 Automotive

💰 $30M Series B on 2022-11

Artificial Intelligence • API • Automotive

Parallel Domain is a company that offers an API for machine learning, computer vision, and perception teams to generate high-fidelity synthetic sensor data, including camera, lidar, and radar data. This data helps in training and testing perception models by simulating scenarios in procedurally generated worlds or replicas of any real-world location. The platform provides high-quality synthetic data to analyze, train, evaluate, and monitor perception models, enhancing AI reliability while reducing risks, development time, and costs. Parallel Domain supports various perception use cases across multiple industries, such as automotive and drones, by offering diverse datasets with edge cases and accurate annotations, thereby boosting machine learning model performance for tasks like emergency vehicle detection and traffic light classification systems.

📋 Description

• Own the Linux and Vulkan migration. Take our current Windows-based renderer from early build to production quality on Linux on Nvidia graphics: correct output across every camera, lidar, and radar configuration we support, at performance that holds up against our benchmarks. • Close the gap between graphics backends. Diagnose and fix the differences between our DirectX and Vulkan paths — memory footprint, shader compilation and pre-caching, driver behavior, synchronization, and the rendering artifacts that show up on one backend and not the other. • Make correctness verifiable. Build the comparison harnesses and regression tests that prove output equivalence across platforms. • Profile and optimize on Linux. Establish the GPU and CPU profiling workflow on the platform, find the bottlenecks, fix them, and codify the patterns so the team isn't rediscovering them in six months. • Contribute to the rendering roadmap. Beyond the migration, take on the broader rendering work: wide-angle and multi-view rendering, reconstruction-based techniques such as gaussian splatting, lighting work in collaboration with our ML team, and moving computation onto available GPU capacity. • Work across the stack. Partner with our build, infrastructure, and simulation engineers. The renderer doesn't ship in isolation — it ships inside a containerized application, through a build system, onto cloud GPU instances, and every one of those seams has a platform dimension. • Use AI tooling actively. LLM-assisted coding and debugging meaningfully accelerate this kind of work when applied well. We expect fluency here and active contribution to the team's practice.

🎯 Requirements

• 7+ years in real-time graphics or engine programming, with at least one product you took all the way to ship. • Production experience with Vulkan — not a side project. You've written and debugged Vulkan render paths, reasoned about memory allocation and descriptor management, chased down synchronization and validation-layer issues, and shipped the result. • You've shipped graphics software on Linux and are comfortable in that environment end to end: GPU drivers, Mesa or vendor stacks, shader toolchains, compositors, containers, and the debugging tools that actually work there. • Highly productive in a large, real C++ codebase with a serious build system and CI. You can navigate an engine you didn't write. • Demonstrated ability to profile a frame, identify the real bottleneck, and fix it — on both GPU and CPU sides — using tools like RenderDoc, Nsight, or platform equivalents. • This role starts with a hard problem and not much precedent to lean on. You can scope it, sequence it, and drive it to completion without close supervision. • You can explain a thorny graphics tradeoff to a non-graphics engineer in five sentences, and give an honest read on schedule when one is asked for.

🏖️ Benefits

• Equity • Employer-paid supplemental medical, mental health, dental, and vision benefits • Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year • Paid parental leave • Equipment budget to optimize your setup • Annual learning and development stipend