Software Intern - Autonomous Vehicles
We are now looking for a Computer Vision Mapping and Localization Engineering Intern.
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. We are proud that NVIDIA is playing a meaningful role in this development, where our hardware and software platforms power a large eco-system of partners who are working to deliver products, all over the world.
In the space of self driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software. Our team, in particular, is responsible for the DRIVE localization module, where our goal is to build a robust, accurate and performant localization module suited for autonomous driving using cameras, radars and lidars. We are seeking research scientists and engineers with a background in computer vision, radar and lidar, sensor fusion, and other related areas.
What you'll be doing
Make our localization solution more robust and accurate by both improving the core algorithm and by using additional sensor inputs and map elements.
Make sure our algorithm works well on real and synthetic data, in a diverse range of environments and conditions.
Develop highly efficient product code in C++, making use of algorithmic parallelism offered by GPGPU programming in CUDA.
Help productize our localization module for real-world deployment to consumer cars, this includes MISRA and ISO26262 certification.
What we need to see
Working towards a BS, MS, or PhD in Computer Science or related fields.
Outstanding communication and teamwork skills, as we work as a tightly-knit team, always discussing and learning from each other.
Experience writing software in C++.
A good foundation in linear algebra and Computer Vision in the areas of sensor geometry/calibration, non-linear optimization and sensor fusion.
Ways to stand out from the crowd
Industry experience in above areas.
Experience developing real-time Computer Vision systems.
We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you're creative and autonomous, we want to hear from you!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning