--- title: 'Senior Linux Graphics Engineer at Parallel Domain' canonical: 'https://feeny.ai/job/senior-linux-graphics-engineer-parallel-domain-remote-afnkhhfes5xh' type: 'job' last_seen: '2026-09-07' --- # Senior Linux Graphics Engineer at Parallel Domain - **Company:** Parallel Domain - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-03 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/paralleldomain/146b6a99-d81d-4210-9cf1-20a408473b69 ## Job description ## 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 that validates the next generation of autonomous systems in high-fidelity virtual environments. Our rendering pipeline is how that platform earns its credibility with customers. Rendering for machine perception is a different discipline than rendering for human eyes: output has to be physically defensible, reproducible frame to frame, and fast enough that a customer's autonomy stack isn't left waiting on it. The stack is rooted in real-time game engine technology and runs at scale in the cloud, and we're evolving it across both fronts — the graphics techniques themselves, and the platforms and APIs we run them on. We're hiring a Senior Linux Graphics Engineer to lead our cross-platform rendering work. This is a senior individual contributor role on a small, deep graphics team. Your first charter is a substantial Linux and Vulkan migration of our renderer, owned end to end from early build through production quality. From there you'll continue as a core member of the graphics team, working alongside our rendering engineers on the harder problems in the pipeline — wide-angle rendering, scene reconstruction, lighting, and GPU performance. ## Responsibilities - 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. You are the person accountable for this landing. - 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. Required Qualifications - Experience. 7+ years in real-time graphics or engine programming, with at least one product you took all the way to ship. - Vulkan depth. 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. - Linux graphics in production. 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. - Modern C++. Highly productive in a large, real C++ codebase with a serious build system and CI. You can navigate an engine you didn't write. - GPU performance work. 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. - Independence. 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. - Communication. 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. ## Preferred Qualifications - Unreal Engine on Linux. You've shipped a modern Unreal Engine title (5.5 or later) on Linux with the Vulkan RHI. - Unreal Engine internals. Deep familiarity with UE's RHI layer, render graph, shader pipeline, and the parts of the engine most people never touch. - Open source contribution. Meaningful contributions to Vulkan-adjacent open source — Mesa, DXVK/VKD3D, Proton, SPIR-V tooling, validation layers, or the Vulkan ecosystem more broadly. Developers doing this work tend to know where the standard is going before the rest of us do. - Cross-API porting. Prior experience bringing a renderer from DirectX 11/12 to Vulkan, or the reverse. - Adjacent low-latency graphics. Video streaming, cloud gaming, or remote rendering backgrounds — that work lives close to Vulkan drivers and Linux GPU stacks. - Sensor and simulation graphics. Familiarity with lidar, radar, or camera simulation, physically based rendering for machine perception, or neural rendering and Gaussian splatting. Core Tools Vulkan · Unreal Engine 5 · C++ · Linux · HLSL/SPIR-V · RenderDoc · Nsight · Docker · Kubernetes · AWS · GitHub Actions What Success Looks Like In your first six months, you'll have: - Taken the Linux renderer to production quality, with output validated as equivalent across platforms for our supported sensor configurations. - Closed the performance and memory gap between graphics backends. - Left behind a regression and comparison harness the team trusts, so platform parity stays proven rather than assumed. - Started contributing to the broader rendering roadmap and established yourself as a peer to the rest of the graphics team. What Makes a Great Candidate You go deep. You like problems where the answer isn't documented anywhere and you have to read the driver source, the spec, or the disassembly to find out what's really happening. You hold strong opinions about graphics APIs and can defend them, but you treat your tools as instruments, not identity. You'd rather own something end to end than work a ticket queue. And you're drawn to what happens when real-time rendering gets pointed at machine perception instead of human eyes — the constraints are different, and most of the interesting problems are still open. ## Compensation & Location Base salary range of $155,000 - $175,000, commensurate with skills, qualifications, and experience. This role is fully remote within North America. Our company operates on PST working hours. Why join Parallel Domain? We are assembling a team of creative, talented visionaries seeking to build a new technology that will change the world. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member. To attract and inspire the right talent, we offer: - 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 ## Equal Employment Opportunity Parallel Domain celebrates diversity and is committed to creating a safe and inclusive environment for all our people. We are committed to providing employees with an environment free of discrimination, bullying and harassment. All employment decisions at Parallel Domain are based on business needs, job requirements and individual qualifications. We will maintain our commitment to and support of equal employment opportunity for all individuals without regard to race, national/ethnic origin, colour, religion, age, sex (including pregnancy), sexual orientation, gender identity/expression, marital status, family status, genetic characteristics or physical/mental disability. Our commitment extends to any other protected classes which may exist under applicable law. ## About Parallel Domain ## Company Overview - **One-liner**: Parallel Domain provides production-grade sensor simulation and reconstruction software that enables autonomous systems to test and validate perception stacks at scale using high-fidelity digital twins. - **Entity Type**: Private (Series B, total funding $43.9M) - **Headquarters**: San Francisco, California, United States - **Founded**: 2017 - **Founders**: Kevin McNamara (Founder, Chief Product Officer) ## Core Business - **Primary industry/industries**: Autonomous driving, drone delivery, eVTOL, robotics – simulation software for perception testing. - **Target customers**: Enterprise autonomy teams at OEMs, mobility companies, and robotics firms (B2B, Enterprise). - **Mission or purpose**: “Bridging the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most.” ## Products & Services - **PD Replica**: Generates near pixel-perfect neural reconstructions from real-world drive or flight logs (camera, lidar, GPS). Output includes world physics, HD maps, scene segmentation, dynamic agent reconstruction, and object insertion. Used for deterministic, closed-loop and open-loop testing. - **Sensor Simulation API**: Software-in-the-loop simulation for camera, lidar, and radar. Fully controllable, deterministic, and integrable with CI/CD pipelines. Supports multi-sensor configurations across geographies, weather, and lighting. - **Data Lab** (launched 2023): Self-serve API for synthetic data generation, allowing teams to create variations of scenes and test edge cases that real-world collection cannot reliably produce. ## Market Standing - **Valuation/Market Cap**: $16.2M (most recent disclosed valuation per GetLatka, 2025/2026). - **Key Metric**: Annual Revenue ~$5M – $5.4M (2025); Total Funding $43.9M. - **Notable Investors/Partners**: March Capital (led Series B), Foundry Group (led Series A), Costanoa Ventures, Ubiquity Ventures (seed). - **Growth Signals**: +2% headcount growth YoY (41 employees as of 2026); active job postings increasing +25% YoY; expanding into new verticals (aviation, warehouse robotics); launch of PD Replica (2024) and Data Lab (2023) showing product innovation. ## Competitive Advantages - **Production-ready fidelity**: Measurable sim-to-real gap reports that quantify how closely a replica matches the original scene – not just visual but auditable for regulatory readiness. - **Deterministic multi-sensor simulation**: Camera, lidar, and radar in a single platform, with full control over trajectories, lighting, and weather. - **Works with messy fleet data**: Ingests imperfect, real-world capture logs and converts them into reusable simulation assets. - **Integration-first**: API-driven, compatible with existing autonomy stacks and CI/CD pipelines. ## Strategic Focus - Scaling reconstruction capabilities to turn every mile driven into a reusable simulation asset. - Expanding industry reach beyond automotive into drone delivery, eVTOL, and warehouse robotics. - Deepening partnerships with OEMs and enterprise customers to embed simulation into their development lifecycle. - Continuing to invest in R&D for neural reconstruction and deterministic sensor modeling. ## Why Work Here - **Culture**: Mission-driven team working on critical safety technology for autonomous systems. Emphasis on “production-grade” quality and measurable trust. - **Work model**: Remote-first with offices in San Francisco (HQ), Vancouver, Karlsruhe, and Palo Alto. Many roles are remote-friendly (e.g., Senior Linux Graphics Engineer, Senior SRE). - **Engineering focus**: Strong engineering team (48% technical staff), with talent from EA, Shopify, Scale AI, Amazon, and Meta. Open roles include Director of Engineering (Simulation & Rendering), Senior SRE, Principal Technical Artist, and Product Manager. - **Growth opportunities**: Company is still relatively small (~41-49 people) with increasing headcount, offering ownership and impact. Recent funding and product launches signal momentum. - **Perks**: Not explicitly listed, but distributed team across 5 countries suggests flexibility, and the technical stack (C++, graphics, ML, sensor simulation) is cutting-edge. ## Sources 1. [paralleldomain.com](https://paralleldomain.com) 2. [jobs.lever.co/paralleldomain](https://jobs.lever.co/paralleldomain) 3. [linkedin.com/company/parallel-domain](https://www.linkedin.com/company/parallel-domain) 4. [getlatka.com/companies/paralleldomain.com](https://getlatka.com/companies/paralleldomain.com) 5. [venturebeat.com](https://venturebeat.com) (2024-06-19: PD Replica launch) 6. [techcrunch.com](https://techcrunch.com) (2022-11-16: Series B announcement) 7. [prnewswire.com](https://prnewswire.com) (2023-06-19: Data Lab launch) ## Other roles at Parallel Domain - [Director, Sales Engineering](https://feeny.ai/job/director-sales-engineering-parallel-domain-remote-dgsdee2tbqvj) - [Product Manager](https://feeny.ai/job/product-manager-parallel-domain-vancouver-british-columbia-zhj9b17p8k1q) — Vancouver British Columbia, Canada - [Senior Sensor Simulation Engineer, Radar](https://feeny.ai/job/senior-sensor-simulation-engineer-radar-parallel-domain-remote-crspcp3h3yhc) - [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-parallel-domain-vancouver-british-columbia-48japfkvhev8) — Vancouver British Columbia, Canada - [Technical Account Director, Automotive](https://feeny.ai/job/technical-account-director-automotive-parallel-domain-remote-99arqmy7gqs4) - [OEM Enterprise Sales Director](https://feeny.ai/job/oem-enterprise-sales-director-parallel-domain-remote-f2qkdvzcx9cr) - [Enterprise Sales Director](https://feeny.ai/job/enterprise-sales-director-parallel-domain-remote-jk2faf0wth6p) - [Principal Technical Artist](https://feeny.ai/job/principal-technical-artist-parallel-domain-vancouver-british-columbia-0zbwm7sxfcn0) — Vancouver British Columbia, Canada