--- title: 'Principal Technical Artist at Parallel Domain' canonical: 'https://feeny.ai/job/principal-technical-artist-parallel-domain-vancouver-british-columbia-0zbwm7sxfcn0' type: 'job' last_seen: '2026-09-07' --- # Principal Technical Artist at Parallel Domain - **Company:** Parallel Domain - **Location:** Vancouver British Columbia, Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-04-28 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/paralleldomain/d427e0c6-30f4-40f6-8dc8-9b0d68fbb53c ## 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 content and rendering pipeline is how that platform earns its credibility with customers. The virtual environments we build have to hold up under physical, geometric, and sensor-level scrutiny—they are the testbeds against which our customers' autonomous systems are validated. Building environments at that level of fidelity and scale demands techniques that go beyond a typical AAA game pipeline. Gaussian splat scene reconstruction, neural rendering, AI-assisted content workflows, and modern procedural systems are reshaping what a tech artist's day looks like. We're hiring a Principal Technical Artist to bring the next generation of these workflows into production at Parallel Domain. This is a senior individual contributor role: you'll work alongside our rendering, simulation, and content engineers on open-ended content and pipeline problems. You'll move fluently between Unreal Engine, Houdini, Python, shader code, and modern AI tooling, and your judgment will shape how our team builds the environments that train and validate autonomous systems. ## Responsibilities - 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. Required Qualifications - 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. ## Preferred Qualifications - 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. What Success Looks Like In your first six months, you'll have: - Integrated into the production pipeline and shipped meaningful content using our in-house tools. - Delivered tooling in Houdini or Unreal Engine that improves content team velocity. - Built strong working relationships with engineering, simulation, rendering, and DevOps stakeholders. - Influenced the technical roadmap with at least one concrete bet that ships customer value. What Makes a Great Candidate You're a generalist who's excellent at technical art, equally at home in rendering, tooling, content, and performance. You hold strong opinions about the craft but treat your tools as instruments, not identity. You're a builder, not a planner: you scope, prototype, ship, and iterate. You're paying close attention to how AI tooling is changing technical art and you want to be hands-on with that change. Base salary range of CAD $145,000–$175,000, depending on skills, qualifications, and experience, plus equity, full health/dental/vision coverage, learning stipend, and generous vacation. This role is based remotely or hybrid in the Pacific Northwest (Vancouver, BC or Seattle, WA). ## 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 Linux Graphics Engineer](https://feeny.ai/job/senior-linux-graphics-engineer-parallel-domain-remote-afnkhhfes5xh) - [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)