Senior Online Mapping Algorithms Engineer- - Autonomous Vehicles
About The Position
NVIDIA is seeking a senior algorithm engineer or architect to develop online mapping for autonomous vehicles. The role helps shape autonomous-driving solutions that perceive the surrounding world and build a 3D model of the driving environment. The engineer will generate real-time world models from sensor and external inputs, enable HD mapless driving in complex urban scenarios through enriched bird’s-eye-view (BEV) models, and develop and integrate algorithms into NVIDIA’s autonomous-vehicle systems. The position involves writing safe embedded software for real-time systems, producing efficient C++ product code and using CUDA for parallelism, and following automotive quality and safety standards. The work supports NVIDIA’s goal of building self-driving vehicles and involves collaboration across teams.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science or a related field, or equivalent experience.
- 6+ years of experience.
- Software industry experience.
- Strong C++ development skills.
- Passion for robotics and autonomous vehicles.
- Drive to learn new things and tackle meaningful problems.
- Outstanding communication and cross-team collaboration skills.
- Independent and analytical software engineering skills.
- Software development experience on embedded or automotive platforms.
Nice To Haves
- Background in 3D geometry, computer vision, or state estimation algorithms such as Kalman filters or particle filters.
- Understanding of ADASISv2, crowdsourced maps, and geographic information systems (GIS).
- Experience optimizing runtime code using profilers.
- Experience with CUDA parallel programming.
Responsibilities
- Generate real-time 3D world models for planning using inputs from sensors and external sources.
- Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
- Design and integrate algorithmic solutions into the core of NVIDIA autonomous vehicles.
- Write safe embedded software code for real-time systems.
- Develop highly efficient product code in C++ and use algorithmic parallelism offered by GPGPU programming with CUDA.
- Produce code and designs that follow automotive quality and safety standards.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
