Senior Manager, Abstraction Layer Engineering – Autonomous Platform

Emploi pas sur LinkedIn

🕒 il y a 5 mois

🏄 California – Distant

🏄 California – Remote

💵 $272 000 - $431 250 / an

⏰ Temps Plein

🟠 Senior

🖥 Ingénieur Logiciel

🦅 Parrain de Visa H1B

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• 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.

🎯 Exigences

• 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

🏖️ Avantages

• Eligible for equity and benefits