Nvidia Senior Applications Software Engineer - Autonomous Vehicles 

United States, California 

371041396

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.