3 days ago
Remote, NetherlandsSenior
Responsibilities
- Define architectures for management and intelligent automation capabilities across telemetry, observability, remediation, and operational automation.
- Engage customers, cluster operations teams, and compute authorities to architect scalable, reliable, and efficient solutions.
- Translate architectural recommendations into prioritized product features, requirements, dependencies, and success criteria with Product and Engineering.
- Resolve system tradeoffs across hardware, firmware, software, and data platforms.
- Guide implementation through design decisions, targeted proofs of concept, and technical investigations.
- Provide strategic system-level leadership and promote AI-centered operating practices across teams.
Requirements
- MSc or higher in Computer Engineering or Computer Science, or equivalent experience.
- 8+ years of experience in system or software architecture.
- A record of delivering sophisticated distributed systems in production.
- Hands-on experience architecting and delivering distributed software systems, including cloud-native services, deployment, and orchestration.
- Deep understanding of data center compute, networking, and management infrastructure at scale.
- Experience translating customer needs into system capabilities and influencing technical and product decisions.
- Strong technical writing, communication, ownership, initiative, and follow-through.
- Preferred experience includes AI factory infrastructure, large-scale GPU clusters, HPC, distributed AI training and inference, hardware/software co-design, telemetry and observability platforms, AI/ML, LLM agents, and open-source AI infrastructure or observability.
Benefits
- Competitive salary and a generous benefits package.
- Opportunity to work with forward-thinking engineering teams at NVIDIA.
- The role is part of expanding engineering teams supporting the company’s growth.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.