Software Engineer, OpenShell

🕒 Julho 31

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $184.000 - $287.500 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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NVIDIA

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

• Track the cutting edge: How are agentic systems evolving? You'll follow research in tool use, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security. • Bridge research and product: Identify research ideas that can meaningfully improve OpenShell and translate them into concrete product opportunities. • Benchmark and adapt: Reproduce and test promising methods from papers, open-source projects, industry work, and internal NVIDIA research. • Build rapid prototypes: Create hands-on proof-of-concepts using OpenShell, including agent harnesses, evaluation loops, self-improving workflows, and runtime-native developer experiences. • Red-team systems: Design evaluation and red-team harnesses that measure agent reliability, usefulness, scalability, safety, security, and developer experience. • Secure the workflow: Help us design secure-by-default workflows for agents operating with tools, code, files, credentials, and enterprise systems. • Partner across teams: Collaborate closely with engineering, product, design, research, solutions, and developer-facing teams to move ideas from prototype to product.

🎯 Requisitos

• 8+ years of professional practical experience in research engineering, software development, or a related technical field • MS/PhD in Computer Science, Physics, or a related field or equivalent experience • A strong background in turning complex research into reusable products, tools, demos, benchmarks, or production systems at scale. • Deep experience in several of the following: LLMs, agent harnesses, multimodal generative models, evaluation frameworks, synthetic data generation, post-training, inference infrastructure/optimization, adversarial ML, or agent safety/security. • Demonstrated ability to drive independent technical investigation: survey relevant work, run experiments, form a clear point of view, and communicate findings clearly. • Strong product sense and care for UX and AX: tools should be intuitive for developers and ergonomic for agents. • A focus on real-world impact: we want research to become enterprise capabilities, reference implementations, developer workflows, or product improvements. • Outstanding team orientation and comfort collaborating across research, engineering, product, design, solutions, and developer-facing teams.

🏖️ Benefícios

• Eligible for equity and benefits

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