Senior AI Infrastructure Software Engineer – DGX Cloud

🔥 0 minutes ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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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 for integration with NVIDIA's resiliency stacks on the platform • Define meaningful and actionable reliability metrics to track and improve system and service reliability • Build and scale distributed systems and AI infrastructure services • Support large-scale AI training, inferencing, fine-tuning, and Agentic AI in production

🎯 Requirements

• Minimum 8+ years of experience 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 analyzing and triaging AI applications from application level to hardware level • Proven track record building and scaling large-scale distributed systems • Experience with AI training and inferencing and data infrastructure services • Familiarity with Kubernetes • Experience operating large-scale observability platforms for monitoring and logging, such as ELK, Prometheus, and Loki • Proficiency in Golang, Python, C/C++, and scripting languages • Strong communication and collaboration skills • Experience working with large-scale AI clusters and cloud-native infrastructure • Strong understanding of NVIDIA GPUs and network technologies including RDMA, IB, and 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 • Support and mentorship • Culture of blameless postmortems, iterative improvement, and risk-taking • Inclusive work environment • Equal opportunity employer