Senior Software Engineer – DGX Cloud

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

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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 a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers • Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems • Implement monitoring and health management capabilities for reliability, availability, and scalability of GPU assets • Harness data streams ranging from GPU hardware diagnostics to cluster and network telemetry • Build automated test infrastructure to qualify distributed systems for operation • Partner with engineering teams across NVIDIA to ensure software integrates from hardware through AI training applications

🎯 Requirements

• 5+ years of experience in a similar role working on large-scale production systems • BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience • Expert level knowledge of a systems programming language (Go, Python, and/or Rust) • Solid understanding of Data Structures and Algorithms • Strong background in Linux system administration and management • Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM • Understanding of performance, security, and reliability in complex distributed systems • Familiarity with system level architecture, data synchronization, fault tolerance, and state management • Proficiency in designing and building widespread distributed networks • Experience managing large-scale distributed systems independently of cloud providers • Extensive expertise in datacenter operations and GPU hardware • Hands-on experience working with RDMA networking • Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM)

🏖️ Benefits

• Equity • Benefits

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