Senior Software Engineer

Salary Range: 160000 to 210000 (Currency: CAD) (Pay period: per-year-salary)

Key Responsibilities

• Collaborate closely with the Creative Technology Supervisor and Visual Pioneering team to design solutions that meet both immediate and long-term VFX workflow needs.
• Integrate internal research and leading-edge machine learning (ML) technologies into our production pipeline, working hand-in-hand with production and research teams.
• Rapidly prototype and iterate on new projects, addressing short-term challenges and informing long-term technology investments.
• Develop and integrate ML-based tools and workflows, especially where solutions are ambiguous or unprecedented.
• Design, implement, and maintain scalable pipelines for seamless image and video transfer across local, virtual, and cloud environments.
• Define integration requirements for creative tools, asset management, and production tracking systems (e.g. Flow).
• Build modular, user-friendly systems that support rapid experimentation and easy integration of new tools.
• Document pipeline processes and workflows to ensure clear understanding and adoption by artists and stakeholders.
• Break down complex technical challenges into actionable tasks for effective team collaboration.
• Prioritize teamwork, security, and operational efficiency throughout the software development lifecycle.
• Mentor and inspire team members through technical leadership and a collaborative approach.
• Maintain open and frequent communication with research scientists, technical artists, and production teams to bridge advanced research and practical production use.
• Champion best practices and continuous improvement in ML and software development, focusing on robust coding standards, package management, and build efficiency.

Qualifications

• Minimum ten (10) years of software development experience developing and supporting creative production pipelines in VFX, Animation, or Games.
• Deep knowledge of computer graphics, machine learning, and pipeline architecture.
• Familiarity with industry-standard creative software, VFX workflows, and asset management systems.
• Proven experience deploying ML models, including training, fine-tuning, and optimizing for production environments.
• Strong understanding of Service-Oriented Architecture and distributed systems (e.g., REST, RPC, message queues).
• Quick to learn new and unfamiliar technologies.
• Proficient with task orchestration systems and automating complex workflows using modern orchestration frameworks.
• Excellent communication skills, with the ability to articulate, document, and visualize complex technical concepts for both technical and non-technical audiences.
• Highly adaptable and resourceful, with strong problem-solving skills and comfort working in a fast-paced, boutique creative environment.
• Self-motivated, team-oriented, and passionate about technical and creative innovation.
• Able to switch quickly between forward-looking development and immediate production support needs.
• Resourceful and self-sufficient in gathering information, with good judgment on when to seek assistance.