Senior Software Engineer – AI-Enabled Production Tools

NVIDIA

. Own tools and pipeline systems from workflow discovery and architecture through implementation, rollout, maintenance, and production support .

Posted 10/5/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining AI-enabled engineering tools, content pipelines, and DCC integrations, with a strong focus on software architecture, API design, and automated testing. Proven ability to lead technical projects, mentor engineers, and collaborate effectively across teams to deliver high-quality production systems.

Highest-signal resume keywords

Python ProgrammingSoftware ArchitectureAPI DesignTechnical LeadershipDCC Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Automated TestingDebuggingCode ReviewVersion ControlRelease ManagementC++ ProgrammingJava ProgrammingDesktop Interface DevelopmentAI Workflow DevelopmentAsset Management

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

PySide/QtUnreal EngineUnityGitPerforce

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Computer Engineering

Industry Keywords

Content PipelinesWorkflow SystemsProduction ToolsRendering SystemsGraphics

Tech Stack

Tools & technologies

JavaPythonQtUnityUnreal EngineC++

About the role

Key responsibilities & impact

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 for 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 supporting maintainability, performance, and integration across production systems
Establish automated testing, agent evaluations, tracing, monitoring, and access controls for 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

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Equity
Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score