- 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, with 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, and a track record of being the person others escalate to on the hardest technical problems.
- Deep expertise designing and shipping production software systems integrations, automation platforms, APIs, and data pipelines for complex enterprise operations at scale, with ownership spanning design through long-term operation.
- Proven 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.
- Track record of modernizing enterprise IT operations platforms (e.g., asset management, endpoint services, IT supply chain, infrastructure operations), including migrating or replacing entrenched legacy systems.
- Production-grade proficiency with infrastructure-as-code, CI/CD, containerization (Kubernetes), and cloud platforms (AWS, GCP, or Azure).
- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar).
- Fluent in Python, Go, or equivalent languages able to architect, write, and review production-quality code, not just scripts.
- Demonstrated ability to grow other senior engineers and establish engineering practices that outlast your direct involvement.
- Ability to drive technical direction across engineering, product, and senior leadership without formal authority, and to make complex trade-offs legible to VP and C-level audiences in business terms.
Ways To Stand Out From The Crowd
- Experience defining an agentic AI or automation platform strategy for a large enterprise and driving its adoption across multiple engineering organizations.
- 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 (e.g., Temporal, Airflow, 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, including extending them in ways their vendors didn’t anticipate.
- Open-source contributions, patents, published work, or conference talks in distributed systems, automation, or applied AI.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.