Nvidia Senior Software Engineer System Performance - Autonomous Vehicles 

United States, California 

7909462

What you'll be doing:

• Shape the application architecture internally, with a focus on overall system performance, 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.

• 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:

• 5+ years of work related experience in software development related to deep learning and/or autonomous driving technologies

• Demonstrated ability to optimize system design and conduct complexity analysis to improve system performance and resolve application issues.

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

• Strong understanding with scheduling and resource management systems

• Prior experience in application development and familiarity with robotics related middleware frameworks.

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

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

• Ease of adapting to new technologies and platforms

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

Ways to stand out from the crowd:

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

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

• Software development experience on QNX.

• Hands-on experience resolving complex interdependent issues emanating from sensors to other embedded controllers on the vehicle.

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

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