Senior Software Systems Engineer – Autonomous Vehicles

🕒 Maio 7

🏄 California – Remoto

info

💵 $152.000 - $287.500 / ano

⏰ Tempo Integral

🟠 Sênior

⚙️ Engenheiro de Sistemas

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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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, evaluate, and build architectures for SAE Level 2 to Level 4 driver assistance and self-driving vehicle technologies • Characterize autonomous vehicle interactions relative to vehicle requirements to drive data collection for system training and verification • Drive autonomous vehicle system verification activities, including architecture and design verification, test strategy development working with the System Integration & Verification Test Leads, and reviewing and prioritizing test results • Lead and communicate data analysis, working with product and engineering teams to drive design decisions relative to requirements and system behavioral needs • Develop methods to analyze and compare the impact of ODDs on relevant performance metrics, translating data and analysis into impactful recommendations

🎯 Requisitos

• BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field, or equivalent experience. • 5+ years of proven industry experience • Strong analytics and architectural background in a development and production setting • Experience in systems engineering, robotics development, or systems integration and test • Strong leadership and interpersonal skills, with the ability to drive alignment between product development, engineering, and test teams. • Experience with complex hardware and software systems • Experience with Model-Based Systems Engineering methods and tools, especially with Magic Cyber Systems Engineer / Cameo • Experience with software and/or tool development with a focus on modelling, analysis, utility languages such as Python and the use of AI tooling to enhance requirement and test coverage analysis. • Success applying the systems V-Model to sophisticated engineering projects, ideally advanced driver assistance or autonomous vehicle systems and associated standards (e.g. ISO 26262) • Deep technical background in at least one focus area of robotic systems development (e.g. sensing, perception, motion control)

🏖️ Benefícios

• equity • benefits

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