Senior Manager, Abstraction Layer Engineering – Autonomous Platform

🕒 March 1

🏄 California – Remote

🏄 California – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🟠 Senior

🖥 Software Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 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.

🎯 Requirements

• 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

🏖️ Benefits

• Eligible for equity and benefits