Senior Software Engineer, AI Frameworks

🕒 Março 31

🏄 California – Remoto

🏄 California – Remote

💵 $152.000 - $241.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

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

• Design and implement end-to-end integrations of Grove with open-source AI frameworks (e.g., Dynamo, llm-d, Ray, PyTorch, and related ecosystem projects) • Build and maintain adapters, plugins, operators, and/or runtime components that enable Grove features to work smoothly across training and inference stacks • Partner with framework owners to upstream changes, contribute patches, and ensure long-term maintainability of integrations • Develop reference workflows, sample apps, and best-practice guides that accelerate adoption by users and partners • Optimize performance, scalability, and reliability for distributed training/inference, including multi-node and multi-GPU environments • Improve observability and operational readiness (metrics, logging, tracing, debugging tools) for Kubernetes-based deployments • Participate in technical design reviews, define APIs/contracts, and ensure compatibility across versions of frameworks and dependencies • Diagnose complex issues spanning containers, networking, scheduling, CUDA/GPU utilization, and framework runtime behavior.

🎯 Requisitos

• BS/MS/PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience) • 5+ years of proven experience in related field • Hands-on experience integrating with at least one major AI framework/runtime (e.g., PyTorch, Ray, Triton Inference Server ecosystem, distributed runtimes, model serving stacks) • Solid understanding of AI workloads: model development basics, training vs. inference tradeoffs, and performance considerations (throughput/latency, batching, memory) • Experience with distributed systems concepts (RPC, scheduling, fault tolerance, resource management) • Practical Kubernetes experience: deploying and operating services/jobs, Helm/Kustomize, operators/controllers (nice to have), and debugging clusters • Familiarity with containers and cloud-native tooling (Docker, container registries, CI/CD pipelines) • Strong software engineering experience in Go, C++ and/or Python, with a track record of shipping reliable systems • Strong interpersonal skills and ability to collaborate across teams and with open-source communities • Exceptional collaboration, communication, and documentation habits.

🏖️ Benefícios

• equity • benefits