Senior Software Engineer – AI-Enabled Production Tools

🔥 5 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

• 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

• Equity • Benefits