Senior AI Infrastructure Software Engineer – DGX Cloud

🕒 August 7

🏄 California, Washington – Remote

🏄 California – 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 15%

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 platforms and tools for large-scale AI, LLM, and GenAI infrastructure • Develop and optimize tools to improve AI/ML workload efficiency and resiliency • Root-cause analyze and triage failures from the application level to the hardware level • Enhance infrastructure and products underpinning NVIDIA's AI platforms • Co-design and implement APIs integrating with NVIDIA's resiliency stacks on the platform • Define meaningful and actionable reliability metrics to track and improve system and service reliability • Apply problem-solving, root cause analysis, and optimization skills

🎯 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 • Proven track record in building and scaling large-scale distributed systems • Experience with AI training and inferencing and data infrastructure services • Familiarity with Kubernetes and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki) • Proficiency in programming languages such as Golang, Python, C/C++, and script languages • Experience working with large-scale AI clusters and cloud-native infrastructure • Strong understanding of NVIDIA GPUs and network technologies (RDMA, IB, NCCL) • Understanding of deep learning frameworks including PyTorch, TensorFlow, JAX, Dynamo, and Ray • Experience with root cause analysis of failures at datacenter scale • Strong background in software design and development

🏖️ Benefits

• Equity • Benefits