Share
What you will be doing:
Create and optimize software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working with vendors developing innovative sensors for vehicles.
Developing sensor drivers, plugins and processing functions around sensor data.
Create highly efficient sensor data recording, playback and visualization tools.
Performing in-vehicle tests, collecting data and analyzing integrity.
Work with our car teams and control teams to develop interfaces to the vehicles to enable self-driving.
Support data collection campaigns for our autonomous vehicle program.
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Create highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA.
What we need to see:
BS/MS or higher in computer engineering, computer science or related engineering (or equivalent experience).
Excellent C and C++ programming skills.
5+ years of proven experience developing and debuggingmultithreaded/distributedapplications like multimedia systems, game engines, etc.
Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
Background on Linux, Android, and/or other real-time operating systems.
Experience with sensors such as cameras, lidar, radar, ultrasonics, IMU, GPS
Experience with vehicle control interfaces.
Thrive on writing low latency, highly performant code.
Great communication and analytical skills.
Self-motivated and a great teammate.
Ways to Stand Out From The Crowd:
Understanding of embedded architectures.
Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.
Software development for modern OpenGL (Core Profile) and Linux.
Experience with version control systems GIT and build system CMake.
You will also be eligible for equity and .
These jobs might be a good fit