Design and build production tools, content pipelines, DCC integrations, and AI-enabled agentic workflows for creative production teams. Responsibilities include architecture, API development, testing, monitoring, release management, production support, and workflow automation. The role partners with artists and engineers, mentors team members, and leads technical decisions. Required experience includes 8+ years of software engineering, 2+ years of technical leadership, strong Python skills, DCC and content pipeline integration, and reliable multi-step AI workflow development.
We are looking for a Senior Software Engineer to design and build tools, pipelines, and AI-enabled systems for complex creative production workflows. You will connect AI models with DCC applications, APIs, internal services, and production infrastructure to support artists, technical artists, designers, and engineers.
A central part of the role is building reliable, multi-step agentic workflows that coordinate tools, maintain state, and recover from failures. You will combine hands-on development with technical leadership to deliver production-quality software, usable artist-facing tools, and maintainable content pipelines.
What you’ll be doing:
- Own tools and pipeline systems from workflow discovery and architecture through implementation, rollout, maintenance, and production support!
- Build agentic workflows that coordinate models, tools, APIs, and services, with context management, state tracking, validation, retries, and failure recovery.
- Develop AI-enabled engineering tools for coding, testing, debugging, codebase analysis, code review, and workflow automation.
- Create DCC integrations, plugins, panels, desktop applications, and services that address the needs of artists and technical artists.
- Build and maintain content pipelines covering authoring, validation, publishing, versioning, asset management, and delivery to rendering or real-time systems.
- Design software architecture, APIs, and data contracts that support maintainability, performance, and integration across production systems.
- Establish automated testing, agent evaluations, tracing, monitoring, and appropriate access controls to ensure reliable and observable operation.
- Manage packaging, dependencies, compatibility, and releases across supported applications and production environments.
- Partner with users to prioritize improvements, lead technical reviews, mentor engineers, and document systems to support adoption and ongoing maintenance.
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience!
- 8+ years of relevant software engineering experience developing production tools, content pipelines, or comparable workflow systems.
- 2+ years of technical leadership experience, including leading engineering projects, guiding architectural decisions, mentoring engineers, and coordinating delivery.
- Strong Python skills and experience with software architecture, API design, automated testing, debugging, and maintainable code.
- Background with integrating with DCC applications and supporting content workflows from authoring through validation, publishing, and downstream delivery.
- Experience building multi-step AI workflows that invoke tools or APIs and interact with existing software systems, including state management, evaluation, and failure handling.
- Experience developing usable tools for artists or other specialist users and translating workflow needs into engineering requirements.
- Experience with version control, code review, release management, and support for production-critical software.
- Ability to diagnose issues across applications, services, and data, communicate technical tradeoffs, and collaborate across engineering and creative teams.
Ways to stand out from the crowd:
- Experience developing desktop or embedded interfaces with PySide/Qt or similar frameworks.
- Proficiency in C++, Java, or other languages used for application integrations and production services.
- Experience with asset management, production tracking, Git, Perforce, and content dependency management.
- Familiarity with Unreal Engine, Unity, proprietary engines, graphics, rendering systems, or shader development.
- Experience with LLM APIs, tool calling, structured outputs, retrieval and context systems, and agent evaluation or observability.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Similar Jobs
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