Senior Staff Software Engineer - Agentic IT Operations

Details

NVIDIA is seeking a Senior Staff Software Engineer to define the technical strategy for autonomous AI-driven enterprise operations. This senior individual contributor role will own the hardest technical problems, establish engineering standards, and make architectural decisions for agentic platforms operating at global scale. Exceptional interpersonal, written, and verbal communication skills are vital for success.

Responsibilities

• Own the technical strategy and reference architecture for agentic AI across enterprise IT, including agent runtimes, tool interfaces, memory and context management, orchestration, evaluation harnesses, safety guardrails, and standards adopted by partner engineering organizations.
• Architect and build production agentic systems using LLM-based agents, tool calling, RAG, and orchestration frameworks for employee support, endpoint services, and IT support operations.
• Design autonomous agents for complex, multi-step enterprise workflows, including approvals, vendor handoffs, cross-system data reconciliation, exception handling, and human-in-the-loop controls.
• Own reliability, observability, failure semantics, and blast-radius controls for safe enterprise-scale autonomy.
• Architect the integration and automation platform spanning ServiceNow, ERP and procurement systems, endpoint-management platforms, infrastructure, data pipelines, APIs, and user-facing applications.
• Make build, buy, and deprecation decisions for the integration and automation platform.
• Define engineering standards for building, testing, evaluating, and operating agentic systems, including prompt and tool versioning, offline and online evaluations, regression suites, cost and latency budgets, security and data-governance patterns, and failure-mode analysis.
• Drive technical alignment across engineering teams, platform owners, security, and senior leadership, resolving architectural disagreements and building consensus without formal authority.
• Mentor and grow senior and staff engineers through design partnership, code review, and technical coaching.

Requirements

• Bachelor's or master's degree in a related field, or equivalent experience.
• 12 or more years of hands-on software engineering experience building and operating production systems at scale, with deep expertise in infrastructure, SRE, DevOps, platform, or production engineering.
• Demonstrated impact at Senior Staff scope, including architectural decisions affecting multiple organizations and responsibility for resolving difficult technical problems.
• Deep expertise designing and shipping production software systems, integrations, automation platforms, APIs, and data pipelines for complex enterprise operations at scale.
• Experience taking agentic AI or LLM-based systems to production, including multi-step autonomous execution, tool calling, RAG, human-in-the-loop safeguards, exception handling, evaluation, and governance with measurable business outcomes.
• Experience modernizing enterprise IT operations platforms, such as asset management, endpoint services, IT supply chain, or infrastructure operations, including migration from or replacement of legacy systems.
• Production-grade proficiency with infrastructure as code, CI/CD, containerization with Kubernetes, and cloud platforms such as AWS, GCP, or Azure.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or PagerDuty.
• Fluency in Python, Go, or equivalent programming languages, with the ability to architect, write, and review production-quality code.
• Demonstrated ability to grow senior engineers and establish durable engineering practices.
• Ability to drive technical direction across engineering, product, and senior leadership without formal authority, and communicate complex trade-offs to VP and C-level audiences in business terms.

Preferred Qualifications

• Experience defining an agentic AI or automation platform strategy for a large enterprise and driving adoption across multiple engineering organizations.
• Experience building agent orchestration frameworks, evaluation infrastructure, or LLM observability tooling used as internal platforms.
• Background designing event-driven or workflow-orchestration architectures, such as Temporal, Airflow, or Kafka-based systems, for long-running, stateful enterprise processes at scale.
• Deep working knowledge of ServiceNow or comparable ITSM/ERP platforms at the API and data-model level.
• Open-source contributions, patents, published work, or conference talks in distributed systems, automation, or applied AI.

Benefits

The expected base salary range is USD 200,000–322,000. The position also includes eligibility for equity and benefits. NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.