Senior Software Engineer, Distributed Systems Engineering – DGX Cloud

🕒 September 28

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

⛓️ Blockchain Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Contribute to the DGX Cloud team responsible for production systems enabling large-scale GPU clusters for AI workloads • Develop custom software for scheduling GPU resources on Kubernetes • Implement monitoring and health management capabilities for reliability, availability, and scalability of GPU assets • Harness data streams from GPU hardware diagnostics, cluster telemetry, and network telemetry • Collaborate with teams across NVIDIA to ensure production AI clusters run reliably, consistently, and at maximum performance • Evaluate system failures and improve services through a defined incident management process

🎯 Requirements

• Significant software engineering experience with Kubernetes, including cluster operations, operator development, node health monitoring, and GPU resource scheduling • Direct experience in a software engineering role within a highly technical organization, with demonstrable impact • Software development experience with Kubernetes APIs and frameworks, not just operating a cluster • Strong communication skills and ability to work with multifunctional teams, principals, and architects across organizational boundaries and geographies • 8+ years in a similar role and experience with large-scale production systems • Experience with common software engineering principles, tools, and techniques • BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree, or equivalent experience • Systems programming language proficiency (Go, Python) • Solid understanding of data structures and algorithms • Technical competency managing and automating large-scale distributed systems independent of cloud providers • Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager) • Proven operational excellence maintaining reliable and performant AI infrastructure

🏖️ Benefits

• Equity • Benefits