Nvidia Senior Systems Software Engineer Simulation 

United States, Texas 

80597992

What you'll be doing:

• Design, build, and deploy simulation focused tooling and frameworks for current and next generation autonomous vehicle development and testing.

• Closely engage with external customers to lead bring-up activities and provide domain expertise to resolve functional and simulation related issues by collaborating with internal engineering and product teams across our US, APAC, and Europe locations.

• Integrate hardware and software components efficiently and build scalable software solutions for our partners. Conduct profiling, benchmarking and evaluation activities for verification.

• Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis.

• Directly impact the future of self-driving car technology!

What we need to see:

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

• 6+ years of work related experience in software development related to autonomous driving and/or simulation technologies.

• Track record providing robust and efficient solutions for autonomous driving (in car or simulation).

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

• Excellent C/C++ development skills with good knowledge of Python.

• Knowledgeable with various OS environments such as Linux and real-time operating systems and container-based virtualization workflows.

• 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:

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

• Proven expertise in developing simulation solutions and experience on diverse sensor modalities such as cameras, ultrasonics, and radar.

• Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware, and/or familiarity with CUDA

• In-vehicle networking: CAN, Flexray, Ethernet, Some/IP, AUTOSAR

• Prior exposure to automotive or related sensors (camera, radar, LIDAR, ultrasonic, GPS, IMU)