Senior DGX Cloud AI Infrastructure Software Engineer

🕒 February 3

🏄 California, Oregon, +2 more states – Remote

🏄 California – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 46%

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

• Develop infrastructure software and tools for large-scale pre-training, post-training, and inference • Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency • Co-design and implement APIs for integration with NVIDIA's resiliency stacks • Enhance infrastructure and products underpinning NVIDIA's AI platforms • Define meaningful and actionable reliability metrics to track and improve system and service reliability • Perform problem-solving, root cause analysis, and optimization • Root cause, analyze, and triage failures from the application level to the hardware level

🎯 Requirements

• Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience) • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level • Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki) • Proven track record in building and scaling large-scale distributed systems • Experience with AI training and inferencing infrastructure services • Proficiency in programming languages such as Python, C/C++, script languages • Experience in quality software engineering practices, including test development, defensive programming, version control, and CI • Excellent communication and collaboration skills • Background in working with the large scale clusters • Experience in defining and building observability and telemetry software stack • Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics) • Experience and root cause analysis of failures and datacenter scale • Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray

🏖️ Benefits

• Equity • Benefits