Senior AI Infrastructure Software Engineer – DGX Cloud

🕒 Agosto 7

🏄 California, Washington – Remoto

🏄 California – Remote ☕ Washington – Remote

💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🏥 Saúde

🏭 Manufatura

🤖 Inteligência Artificial

Healthcare • Manufacturing • Artificial Intelligence

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• Equity • Benefits • Support and mentorship • Culture of blameless postmortems, iterative improvement, and risk-taking • Inclusive work environment • Equal opportunity employer