- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
- 18+ years of experience building and operating large-scale distributed systems, infrastructure platforms, or production environments
- Confirmed company-level technical leadership at principal, distinguished, or equivalent scope in production engineering, SRE, infrastructure software, or cloud platforms
- Consistent track record of defining operating models, architectural direction, and engineering standards across multiple technical domains and organizations
- Consistent record leading large, cross-team technical efforts from concept through production, including aligning collaborators, navigating for clarity and delivering measurable outcomes
- Deep experience with one or more of these areas: Kubernetes-based production systems, infrastructure automation, or distributed systems operations.
- Strong software engineering skills in languages such as Python, Go, or similar low-level programming languages
- Deep understanding of distributed systems, Linux, networking, containers, and production reliability concerns
- Experience crafting operational workflows, APIs, service interfaces, or automation frameworks that become the standard way teams run production systems
- Strong architectural judgment and a validated history of simplifying complex operational problems through reusable software, clear technical strategy, and durable engineering direction
Ways to stand out from the crowd
- Defined the structural foundation for a large, heterogeneous infrastructure environment spanning multiple platforms or providers
- Established widely used operating standards, architectures, APIs, or workflows that improved reliability, operability, or performance at company scale
- Built automation and engineering interfaces that connect platform teams, infrastructure teams, and service owners into a consistent production system
- Experience improving production readiness, restoration, runtime safety, or release quality for large-scale infrastructure
- Equally comfortable setting technical strategy, reviewing architecture at scale, writing code, and driving adoption across organizational boundaries
This role is purposely assigned to the cross-domain production operating model for DGX Cloud capacity. It does not involve a shared platform-software function for typical automation services. Success is achieved by making sure the larger DGX Cloud cluster estate functions optimally in a live environment. The position calls for strong technical leadership, consistent workflows, clear limits, and productive cross-team engineering coordination.
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 320,000 USD – 488,750 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.