The MBRDNA Vehicle intelligence group is looking a new Senior Software Engineer for GPU and parallel computing. This person will work in developing a production level autonomous driving code on NVIDIA GPUs. There is no special autonomous driving skill necessary but a successful candidate needs to have current hands-on CUDA experience and should be experienced in C++ programming.
This person's tasks will primarily focus on Software development, improvement and migration to NVIDI GPUs.
Design, develop, test, deploy, maintain and improve software
Design and/or Implement test frameworks, best-in-class test tools and applications.
Develop and execute unit tests, scripts and applications as needed
Continually improve your craft by researching new test/validation methodologies
Define the end-to-end test strategy and collaborate with the team on test-case generation
Min. 4 years experience with NVIDIA CUDA development.
Min. LAST 4 years of applicable software engineering experience in C++11 and above.
Experis is an Equal Opportunity Employer (EOE/AA)
C++ (Programming Language)
Graphics Processing Unit (Gpu)