Job Description

Eyeline is a global team of risk takers, innovators and perfectionists who achieve creative visions and have fun doing it. A dynamic workforce nestled within the industry's most intriguing cities, united by a drive to push the boundaries of storytelling. Learn more.

The Senior Stage Software Engineer is responsible for architecting, developing, and maintaining the high-scale tools and data-processing workflows required to support volumetric capture, geometry processing, and various R&D efforts. The ideal candidate is an advanced Python engineer with deep expertise in Houdini, geometry manipulation, PDG-based automation, USD workflows, and modern pipeline virtualization technologies (Docker, Kubernetes). C++ experience is valuable but not a core requirement.

This role partners closely with Production, Operations, R&D, and non-technical stakeholders to gather and document requirements, transform prototypes into robust production systems, and integrate Houdini-based geometry-processing (HDAs/SOPs), PDG/TOP automation, USD workflows, and ML, alongside containerized distributed compute (Docker/Kubernetes), into a scalable, reproducible architecture. A Senior Stage Software Engineer anticipates workflow friction, drives efficiency across large datasets, and ensures solutions meet the highest standards of quality, modularity, reproducibility, and maintainability.
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Key Responsibilities

Lead development of volumetric capture and geometry-processing pipelines, turning early prototypes into robust, production-ready systems Translate stakeholder requirements into clear technical plans, assessing trade-offs, estimating effort, and identifying risks Design and maintain Houdini-based workflows, including HDAs, SOP tools, and PDG/TOP networks for scalable automated processing Build production-grade Python tooling and libraries for multi-step processing, ML integration, data validation, and USD output packaging Integrate machine learning models for stabilization, alignment, registration, and geometry refinement in collaboration with ML research Develop containerized compute workflows using Docker and Kubernetes to ensure reproducible, scalable execution across distributed compute environments Define USD data structures and output formats to support clean downstream ingestion into VFX, TechAnim, and other pipelines Ensure engineering excellence through documentation, testing, profiling, code reviews, and reproducibility-focused development Collaborate across Production, Operations, R&D, and non-technical teams to keep workflows aligned with broader studio needs Mentor peers and contribute to architectural decision-making, fostering clarity, maintainability, and long-term pipeline scalability
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Qualifications

Minimum ten (10) years of professional software development experience, with expert-level Python and experience building large-scale, production-grade tools and pipelines Minimum three (3) years in senior or lead roles, driving complex technical initiatives and mentoring other engineers Deep experience with Houdini-based development, including building and maintaining HDAs, SOP-level geometry tools, and PDG/TOP-based automation Strong background in geometry processing, including mesh operations, remeshing, alignment, stabilization, or related mathematical workflows Hands-on experience integrating machine learning models (vision, tracking, alignment, registration, or inference pipelines) into production systems Proficiency with USD concepts and APIs, including structuring layered assets, payloads, and pipeline-ready data packages Experience with containerized compute (e.g., Docker, Kubernetes) for scalable, reproducible execution across distributed environments Familiarity with Rez-based environment and dependency management, or equivalent package/environment systems Strong engineering fundamentals, including modular design, testing, reproducibility, performance profiling, and documentation Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams Self-directed, organized, detail-oriented, and driven, with a strong sense of ownership over systems and outcomes

This salary range is specific to applicants applying to our position in Vancouver, BC. To determine your base salary, we consider your qualifications, skills, and experience. These considerations can cause your compensation to vary outside of this range and will also be dependent on your location.

About Us

Eyeline is a global creative studio partnering with storytellers to turn their ambitions into stunning reality. By blending the time-honored craft of filmmaking with breakthrough technologies, we unlock bold, cinematic visions at scale. Our three pillars - VFX, Studios and Labs - form the creative spine of Eyeline, guiding how we think, work, and show up in every frame.

At Eyeline, we believe technology serves artistry and our people are the soul behind everything we do, deepening creative connection, rather than replacing it. We build worlds with exceptional craft and precision, working hand in hand with our creative partners from concept to final pixel.

Netflix Investment- Eyeline
With the support of Netflix's investment in our pipeline, infrastructure, and workforce, we're pushing the boundaries of what's possible in visual effects and virtual production technology. In addition to our work with Netflix, we continue to partner with a wide range of long-standing and new clients worldwide.

Come as you are

We are looking for those seeking to take risks with us, those driven by passion for their craft. To us, these are key ingredients that we look for in our team. We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.



We will only consider applicants based in British Columbia, or those willing to relocate.

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.