Senior Software Application Engineer leading architectural evolution of critical systems at Warner Music Group. Analyzing existing designs for scalability, performance, and cost optimization.
About the role
- Senior Software Engineer architecting volumetric capture processing tools for Eyeline's technologies. Involved in leading development of production systems utilizing Python and Houdini workflows.
Responsibilities
- Lead development of **PDG-driven volumetric capture processing pipelines**, turning early-stage workflows into robust production systems.
- Translate stakeholder requirements into clear technical plans, evaluating trade-offs, estimating effort, and mitigating risks.
- Architect and maintain **Python-based processing systems**, with primary emphasis on **Houdini PDG orchestration**.
- Design and optimize data workflows for meshing, splat refinement, stabilization, alignment, and downstream asset preparation.
- Integrate and operationalize **machine learning models** within production pipelines.
- Coordinate distributed processing workflows through **Deadline**, and integrate automation and metadata flows with **ShotGrid**.
- Improve performance, scalability, and reproducibility across large datasets and processing workflows.
- Uphold engineering excellence through testing, documentation, profiling, and code review practices.
- Mentor engineers and contribute to architectural direction across the processing domain.
- Collaborate across Production, Operations, and R&D to ensure systems remain stable and production-aligned.
Requirements
- 8+ years of professional software development experience, with expert-level proficiency in **Python**
- Advanced experience building and maintaining **Houdini PDG-based automation workflows** for large-scale production processing
- Working knowledge of **HDA development** and the **Houdini Python API** in support of PDG-driven systems
- Strong understanding of distributed job orchestration systems such as **Deadline**
- Experience integrating with production tracking systems such as **ShotGrid**, including API-driven automation and metadata workflows
- Strong background in volumetric capture or geometry processing workflows, including meshing, alignment, stabilization, and refinement systems
- Hands-on experience integrating **ML or AI-assisted models** into production pipelines
- Experience optimizing performance and managing large datasets in production environments
- Working knowledge of the **Houdini C++ API** (nice to have)
- Strong engineering fundamentals, including modular system design, testing, profiling, and reproducibility practices
- Clear written and verbal communication skills, with the ability to collaborate across technical and non-technical teams
- Self-directed, detail-oriented, and solution-driven working style.
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