Senior Software Engineer – NIM Platform SDK and Framework

🕒 Março 31

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of NVIDIA

NVIDIA

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

• Develop and advance the inference microservice framework: OpenAI-compatible API endpoints, inference backend integrations (vLLM, SGLang, TensorRT-LLM, Dynamo), middleware, observability instrumentation, and production hardening across cloud, on-prem, and Kubernetes environments • Architect significant new features in open-source codebases, shepherding them through project acceptance and into production • Build and optimize high-performance model download and caching pipelines across multiple cloud storage backends (NGC, HuggingFace, S3, GCS) - parallel transfers, integrity verification, and seamless multi-cloud operability • Implement the model profile and manifest system that ensures NIMs are optimized for every NVIDIA GPU platform - profile selection, validation, and multi-GPU configuration • Develop and refine cloud microservice patterns - service discovery, health checking, graceful degradation, API gateway integration, and end-to-end request lifecycle management - to ensure NIMs operate reliably at scale in diverse cloud deployment environments • Be a role model for high-quality code across Python, Rust, and C/C++, and model guidelines in test-driven development, agentic AI-assisted development, code review, and cross-team collaboration • Mentor teammates and establish high engineering standards for container quality, security, and operability

🎯 Requisitos

• BS or MS in Computer Science, Computer Engineering, or related field (or equivalent experience) • 8+ years of demonstrated experience developing performant microservice, cloud software and/or platform infrastructure roles • Deep technical expertise in cloud-native microservice architecture, including service mesh, API gateways, load balancing, and distributed system build patterns • Expertise in high-performance data pipelines with parallel I/O, caching strategies, and integrity verification across distributed storage systems • Solid understanding of containerized application delivery using technologies such as Docker, Kubernetes, and Helm • Understanding of application security principles, including secure coding practices, vulnerability mitigation, secrets management, and supply chain integrity for containerized environments • Strong problem-solving skills grounded in first-principles reasoning and critical analysis • Excellent programming skills in Python and Rust, with strong foundations in algorithms, development patterns, and software engineering principles

🏖️ Benefícios

• Eligible for equity • Benefits offered

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