Software Engineer, Egomotion - Autonomous Vehicles

We are now looking for a Software Engineer for Autonomous Vehicles supporting Egomotion Team. Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We work with leading automotive OEMs, Tier 1 suppliers as well as raising stars in the startup world. We are seeking senior software engineers with interests in computer vision, mapping, LIDAR perception, deep learning, sensor fusion, and other related areas, to work as part of NVIDIA’s autonomous vehicles team. You will have a direct impact on the shipped product and ensure success of the our software stack.

What You Will Be Doing

• Testing, documenting, evaluating quality of functions and driving improvements
• Productizing your contribution by working close with multiple internal and external stakeholders (systems engineering, safety engineering)
• Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
• Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements
• Taking algorithms from initial evaluation and experimentation all the way to shipping them in the SDK and related products
• Performing in-vehicle tests, collecting data and completing autonomous drive missions
• Solidifying existing functionality and working with large amounts of real and synthetic data to continuously improve the algorithmic and computational performance

What We Need To See

• Background in state estimation, vehicle models, Kalman filtering, optimization
• Strong mathematical fundamentals, including linear algebra and numerical methods
• Excellent C++ programming skills using modern C++ and experience in development on Linux
• Experience implementing algorithms in Robotics, Computer Vision and/or Machine Learning
• Great communication and analytical skills
• Self-motivated and a great teammate
• Strong knowledge of programming and debugging techniques, especially for parallel architectures
• Knowledge of Python and its ecosystem for scientific computation
• 2+ years of relevant industry experience
• MS or higher in computer science or related engineering discipline (or equivalent experience)

Ways To Stand Out From The Crowd

• Experience developing software for automotive systems and ADAS applications
• Experience with version control systems and build systems (Git, bazel)
• Background with performance analysis, optimizations and benchmarking
• Experience working on areas such as sensor calibration, vehicle motion estimation, computer vision by using a variety of sensor modalities (Camera, LIDAR, Radar, INS, GPS, Odometry, etc.)
• Experience with data-parallel and/or CUDA programming
• Understanding of embedded architectures
• Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation

The base salary range is $116,000 - $224,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits .

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.