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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. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!

What you'll be doing:

+ Bring to life the application architecture, with a focus on developing a seamless integration environment, by collaborating closely with architecture and software development teams.

+ Integrate hardware and software components efficiently and build scalable software solutions for our partners; Understand the architecture, profile, identify bottlenecks and optimize.

+ Build a good understanding of application resource utilization characteristics across CPU, GPU and other hardware accelerators.

+ Lead bring-up activities and provide technical support to resolve functional and system performance issues, working with internal and external partner teams.

+ Customize, reconfigure and rebuild processing pipelines in the software stack.

+ Perform in-vehicle and simulation test drives and deep analysis on the recorded data.

+ Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.

What we need to see:

+ Strong C/C++ development skills with good knowledge of Python and scripting languages

+ Established proficiency in system performance improvement and complexity evaluation to improve system performance and resolve application issues.

+ 5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies.

+ Bachelors or Masters in computer science, robotics, computer engineering, or equivalent experience.

+ Prior experience in application development and familiarity with robotics or automotive related middleware frameworks.

+ Knowledgeable with various OS environments such as Linux, Android, or Real-time operating systems

+ Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.

+ Ease of adapting to new technologies and platforms.

+ Ability to adapt to fast paced development lifecycles and multi-functional organizations.

+ Strong analytical skills, seek innovative solutions, with good attention to details.

Ways to stand out from the crowd:

+ Hands-on experience with automotive stack and industry-standard protocols.

+ Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform.

+ Software development experience on QNX or equivalent RTOS.

+ Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.

+ Contributions to or ownership of open-source project and mentorship experience.

The base salary range is 148,000 USD - 287,500 USD. 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 (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

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.