
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.
🕒 Abril 7
🏄 California – Remoto
💵 $224.000 - $356.500 / ano
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
👮♀️ Gerente de Engenharia de Software
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
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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.
• Own the delivery, quality, and security posture of root-of-trust firmware across NVIDIA’s data center compute platforms, from architecture through production release. • Lead, mentor, and grow a distributed team of senior firmware and security engineers, fostering a culture of autonomy, accountability, and continuous learning. • Drive adoption of modern software engineering practices: rigorous code review, robust CI/CD pipelines, automated testing and fuzzing for security-critical code paths, and systematic threat modeling. • Champion an AI-forward engineering culture — actively using and encouraging AI coding assistants, automated analysis tools, and LLM-assisted workflows to improve team velocity and code quality. • Establish and maintain effective asynchronous-first communication practices that enable a geographically distributed team to collaborate with clarity and minimal friction across time zones. • Partner with security architects, hardware engineers, system software teams, and data center customers to define requirements, review designs, and ensure the firmware stack meets NVIDIA’s highest reliability and security standards. • Own project planning and execution: manage milestones, track risks, communicate status clearly to senior leadership, and make rapid decisions when priorities conflict. • Drive continuous improvement in engineering processes, tooling, and team structure — identifying bottlenecks and acting decisively to improve throughput and morale.
• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • 10+ overall years of relevant software or firmware engineering experience, including meaningful work in security-critical, embedded, or low-level systems software. • 5+ years of engineering management experience, with a track record of building and scaling high-performing teams. • Demonstrated experience managing distributed, remote-first engineering teams across multiple time zones, with a clear philosophy for enabling autonomous, high-agency contributors. • Deep familiarity with modern software engineering methodologies: agile/iterative development, continuous integration, test-driven development, and systematic code review practices. • Genuine, demonstrable AI-forward mindset: you actively use AI coding assistants and LLM-based tooling in your own workflows and have driven adoption of these tools within engineering teams. • Solid technical foundation in C/C++ and embedded systems, with the ability to engage credibly in deep technical discussions about firmware architecture, memory safety, and hardware-software interfaces. • Excellent written and verbal communication skills, with a strong preference for written communication that creates clarity and institutional memory for a remote team. • Comfortable with ambiguity and complexity; you make sound decisions quickly with incomplete information and course-correct without friction.
• equity • benefits
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