Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and on collaborations across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!

Shape the application architecture internally, with a focus on planning and control, by collaborating closely with architecture and software development teams. Integrate and adapt NVIDIA solutions in target vehicles, ensuring that both the planner and controller are adapted and tuned to meet the desired vehicle dynamics performance metrics and functionality. Lead bring-up activities and provide technical support to resolve functional and planning & control related issues. Perform and leverage in-vehicle and simulation test drives for functional and performance analysis on the recorded data. Work with our partners to efficiently integrate hardware and software components, understand the system architecture, profile performance, identify bottlenecks, and drive optimization Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers.

5+ years of work related experience in software development related to deep learning and/or autonomous driving technologies. Strong foundation in control theory, motion planning, and optimization, including real-time algorithms suitable for safety-critical systems. Solid grasp of vehicle dynamics, state estimation and trajectory generation, with experience taking algorithms from simulation to real-time hardware. BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience). Excellent C/C++ development skills with good knowledge of Python. Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms. Strong analytical skills, strive for innovative solutions, with outstanding attention to details.

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