Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 30 Oct 2026

Senior Staff Software Engineer

NVIDIA Santa Clara, CA staff full-time

Salary

200,000 USD - 322,000 USD per year

Apply on NVIDIA

Description

NVIDIA is seeking a Senior Staff Software Engineer to define the technical strategy for autonomous AI-driven enterprise operations. You will set the architecture that transforms IT from manual, reactive workflows into agentic platforms operating at global scale.

Responsibilities:

  • Own the technical strategy and reference architecture for agentic AI across enterprise IT
  • Architect and personally build production agentic systems using LLM-based agents, tool calling, RAG, and orchestration frameworks
  • Design autonomous agents that execute complex, multi-step enterprise workflows end-to-end
  • Own the architecture of the integration and automation platform spanning ServiceNow, ERP and procurement systems, and endpoint-management platforms
  • Define the engineering standards for how agentic systems are built, tested, evaluated, and operated
  • Drive technical alignment across organizational boundaries, partner engineering teams, platform owners, security, and senior leadership
  • Multiply the organization by mentoring and growing senior and staff engineers

Requirements:

  • Bachelor's or Master's degree in a related field, or equivalent experience
  • 12+ years of hands-on software engineering experience building and operating production systems at scale
  • Deep expertise in at least one of: Infrastructure, SRE, DevOps, Platform, or Production Engineering
  • Demonstrated impact at Senior Staff scope architectural decisions that shaped systems across multiple organizations
  • Track record of being the person others escalate to on the hardest technical problems

Nice to Have:

  • Experience defining an agentic AI or automation platform strategy for a large enterprise
  • Built agent orchestration frameworks, eval infrastructure, or LLM observability tooling as internal platforms used by other teams
  • Background designing event-driven or workflow-orchestration architectures 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

Skills

Required

  • Python
  • Go
  • Infrastructure-as-code
  • CI/CD
  • containerization (Kubernetes)
  • cloud platforms (AWS, GCP, or Azure)
  • monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty)
Apply on NVIDIA