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Parallel Jobs in Burnaby, BC (NOW HIRING)

Netflix

Software Engineer - Rendering

Vancouver, BC · Hybrid

CA$124K - CA$179K/yr

Experience with developing shading or raytracing algorithms on massively parallel architectures such as multi-threaded CPUs and GPUs. * Practice in writing high performance code, vectorized code ...

Netflix

Software Engineer - Rendering

Vancouver, BC · Hybrid

CA$124K - CA$179K/yr

Experience with developing shading or raytracing algorithms on massively parallel architectures such as multi-threaded CPUs and GPUs. Practice in writing high performance code, vectorized code, with ...

veritree

Project Manager, Terrestrial

Vancouver, BC · Hybrid

Manage multiple terrestrial planting partner relationships in parallel and serve as the primary point of contact. * Manage a small number of global terrestrial accounts (for example, in the ...

veritree

Project Manager, Terrestrial

Vancouver, BC · On-site

Manage multiple terrestrial planting partner relationships in parallel and serve as the primary point of contact. * Manage a small number of global terrestrial accounts (for example, in the ...

ScalePad

Corporate Controller

Vancouver, BC

Oversee payroll across Canadian and US entities on parallel systems, support benefits renewals in both countries, and administer the equity program (cap table, stock-based compensation, and annual ...

ScalePad

Corporate Controller

Vancouver, BC · On-site

Oversee payroll across Canadian and US entities on parallel systems, support benefits renewals in both countries, and administer the equity program (cap table, stock-based compensation, and annual ...

ZE Power Engineering

Project Manager

Richmond, BC · On-site

CA$80K - CA$95K/yr

Track record of managing multiple projects in parallel * Must have access to a vehicle Education & Experience * A university degree in a related field, such as Engineering, Construction Management ...

ZE Power Engineering

Project Manager

Richmond, BC · On-site

CA$80K - CA$95K/yr

Track record of managing multiple projects in parallel * Must have access to a vehicle Education & Experience * A university degree in a related field, such as Engineering, Construction Management ...

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All JobsParallel JobsParallel Jobs in Burnaby, BC

Parallel information

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.
What cities near Burnaby, BC are hiring for Parallel jobs? Cities near Burnaby, BC with the most Parallel job openings:
Parallel jobs near you
Infographic showing various Parallel job openings in Burnaby, BC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Principal Technical Artist

Parallel Domain

Vancouver, BC

Full-time

Dental, Vision, PTO

Re-posted 11 days ago

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).
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.
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