英伟达Senior Autonomous Driving System Engineer, L4
任职要求
We are looking for engineers who can build comprehensive systems and not just individual components. You should have:• A BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent work experience. • At least 6 years of hands-on experience in developing production autonomous driving systems. • Proficiency in forecasting, scheduling, and control frameworks for autonomous vehicles. • Experience with AI foundation models, large-scale ML systems, and end-to-end driving models. • A strong background in robotics or embodied AI systems…
工作职责
As a Senior Autonomous Driving System Engineer, L4, you will be central to crafting and constructing the architecture behind next-generation autonomous driving systems. Your work will involve: • Building the main stack for autonomous driving, concentrating on prediction, decision-making, planning, and control architecture. • Crafting robust system-level safety and fallback strategies within classical safety stacks. • Implementing end-to-end data-driven AV pipelines and large-scale model inference architectures. • Integrating classical and end-to-end hybrid systems, ensuring seamless scalability from research to production. • Collaborating with a world-class team of engineers to build a unified production platform that sets new standards in the industry.
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.” Make the choice to join us today. Our team builds NVIDIA’s end-to-end autonomous driving application.We are seeking senior software engineers who are passionate about performance with interest in optimizing self-driving solutions that run on NVIDIA’s multi-computer and heterogenous HW architectures. What you’ll be doing: • Develop, maintain and optimize performance KPIs necessary to deliver NVIDIA’s L2/L3/L4 autonomous driving solutions • Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals • Develop highly efficient product code in C++, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA • Diagnose and fix performance issues reported on our target platform including on-road & simulation
