Senior Manager, Abstraction Layer Engineering – Autonomous Platform

🕒 Março 1

🏄 California – Remoto

🏄 California – Remote

💵 $272.000 - $431.250 / ano

⏰ Tempo Integral

🟠 Sênior

🖥 Engenheiro de Software

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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

• Lead the VAL and SAL teams, designing and developing optimal software abstractions and plugin frameworks to interface with real-world vehicle and sensor systems, consistently exceeding customer expectations. • Build efficient and user-friendly mechanisms to improve software integration across a wide range of vehicles and sensor configurations. • Work on core areas such as component abstraction layers, sensor and actuator interfacing, and inter-process data sharing and communication, enabling reliable and scalable autonomous driving solutions. • Solidify existing frameworks and software components, validating improvements through extensive real-world and synthetic testing to enhance computational performance and system utilization. • Perform in-vehicle tests, collect and analyze sensor and vehicle data, and support the completion of autonomous drive missions. • Develop unit tests and documentation for key features, evaluate software quality, and propose corrective actions in alignment with industry best practices. • Develop highly efficient, production-quality C++ code, demonstrating parallel computing capabilities through GPGPU (CUDA) to accelerate processing workloads. • Follow industry safety and quality standards, including MISRA and other automotive-grade software development practices.

🎯 Requisitos

• MS or higher in computer engineering, computer science or related engineering fields (or equivalent experience) • 12+ overall years of relevant industry experience and 8+ years of managing a team • Excellent C and C++ programming skills • Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc. • Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures • Strong knowledge on Linux, Android, and/or other real-time operating systems • Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer • Thrive on writing low latency, highly performant code • Phenomenal communication and analytical skills • Self-motivated and a great teammate

🏖️ Benefícios

• Eligible for equity and benefits