Nvidia DRIVE platform offers solutions to build safe, scalable, AI-enabled Autonomous Vehicles spanning from in-car supercomputers to cloud-scale training and simulation
Job Summary
Nvidia DRIVE platform offers solutions to build safe, scalable, AI-enabled Autonomous Vehicles spanning from in-car supercomputers to cloud-scale training and simulation.
The role involves designing and integrating algorithmic solutions for map delivery and developing transformer-based models tailored for graphs to improve autonomous vehicle navigation.
NVIDIA is recognized as one of the best places to work, offering the opportunity to contribute to a mission that could reduce approximately 1.25 million road traffic deaths worldwide.
Matching Summary
Nvidia DRIVE platform offers solutions to build safe, scalable, AI-enabled Autonomous Vehicles spanning from in-car supercomputers to cloud-scale training and simulation.
Skills & Requirements
Must-have
C++14 or later development
AI-powered software engineering
Map-based driving algorithms
Real-time embedded software
Machine learning and 3D geometry
Use of advanced AI code assistants
Scalable distributed map workflows
Nice-to-have
Experience with navigation maps like NDS.Live or OSM
Embedded or automotive platform development
Knowledge of gRPC and Protocol Buffers
GPGPU programming with CUDA
Passion for robotics and autonomous vehicles
Key Requirements
4+ years experience or BS in Computer Science
Background in computer vision and machine learning