Senior Software Engineer, AI-Enabled Production Tools
$184,000 - $356,500 USD yearly
Originally posted 5 October 2026 by the employer.
About the role
This role involves designing and building AI-enabled systems, tools, and pipelines for complex creative production workflows. You will connect AI models with DCC applications, APIs, internal services, and production infrastructure.
What you'll do
- Own tools and pipeline systems from 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 that support maintainability, performance, and integration across production systems.
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, and mentoring engineers.
- 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.
Skills: AI models, DCC applications, agentic workflows, Python, content pipelines
This role has been open 0 days — well below the 48-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
164
|
Median days open
48 d
|
Median salary
$193k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (164 roles · 43 employers) |
|---|---|---|
| Open roles in this specialty | 23 | 164 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5996 · 146 employers |
| Median days open | 180 d | 48 d (+132 d vs this employer) |
| Median salary (USD postings) | — | $193k |
Skills observed across this category: AI models, DCC applications, agentic workflows, Python, content pipelines
Who's hiring in this category
- Micron Technology · 27 open roles · median 31 d
- Qualcomm · 23 open roles · median 180 d
- NVIDIA (this employer) · 22 open roles · median 192 d
- Infineon Technologies · 11 open roles · median 32 d
- AMD · 9 open roles · median 69 d
- Analog Devices · 4 open roles · median 129 d
How we counted: 164 open Software Engineering Semiconductor (AI ML Hardware) roles from 43 employers tracked in the SemiconductorJobs index, counted 6 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.