Senior Staff Software Engineer - Agentic IT Operations
NVIDIA, US, CA, Santa Clara
- Pay
- Not listed by the employer
- Work type
- Not stated
- Level
- Staff
- Area
- Software engineering, Inference & ML systems, ML / AI engineering
- Posted
- 9 days ago
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About the role
For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the “brains” of computers, robots, and autonomous vehicles that can comprehend the world! This pioneering work demands vision, innovation, and the world’s best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.
We are seeking a Senior Staff Software Engineer to define the technical strategy for autonomous AI-driven enterprise operations at NVIDIA. You will set the architecture that transforms IT from manual, reactive workflows into agentic platforms operating at global scale. This is senior individual contributor role on the team: you will own the hardest technical problems, establish the standards that other engineering organizations adopt, and be accountable for architectural decisions whose consequences compound for years. Exceptional interpersonal, written, and verbal communication skills are vital for success.
What You’ll Be Doing:
As a Senior Staff Software Engineer, you will define how NVIDIA builds and operates autonomous enterprise systems. Your influence will be measured in systems adopted, engineers elevated, and problems that stopped being problems.
Core responsibilities include:
- Own the technical strategy and reference architecture for agentic AI across enterprise IT : agent runtimes, tool interfaces, memory and context management, orchestration, evaluation harnesses, and safety guardrails and establish them as the standard that partner engineering organizations build on.
- Architect and personally build production agentic systems using LLM-based agents, tool calling, RAG, and orchestration frameworks, delivering AI-assisted operations across employee support, endpoint services, and IT support operations.
- Design autonomous agents that execute complex, multi-step enterprise workflows end-to-end, coordinating approvals, vendor handoffs, cross-system data reconciliation, and exception handling with human-in-the-loop controls and own the reliability, observability, failure semantics, and blast-radius controls that make autonomy safe at enterprise scale.
- Own the architecture of the integration and automation platform spanning ServiceNow, ERP and procurement systems, and endpoint-management platforms, including infrastructure, data pipelines, APIs, and user-facing applications and make the build/buy/deprecate calls that shape it for the next several years.
- Define the engineering standards for how agentic systems are built, tested, evaluated, and operated: prompt and tool versioning, offline and online evals, regression suites, cost and latency budgets, security and data-governance patterns, and systematic failure-mode analysis.
- Drive technical alignment across organizational boundaries, partner engineering teams, platform owners, security, and senior leadership resolving contested architectural decisions and building consensus without formal authority.
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Listed on NVIDIA's Workday careers site; checked 33 h ago. First seen by us 34 h ago. Being listed doesn't mean the team is actively interviewing.