Senior System Software Engineer - Autonomous Vehicles

Nvidia•Santa Clara, CA

46d

About The Position

The Autonomous Vehicles Platform team is now looking for a Senior System Software Engineer. Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interests in designing, developing and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction.

Requirements

BS/MS in Computer Engineering, Computer Science or related field (or equivalent experience).
Excellent C and C++ programming skills.
8+ years of proven experience developing and debugging multithreaded/distributed applications 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.

Nice To Haves

Understanding of embedded architectures.
Experience with data-parallel and/or GPGPU programming, CUDA, and OpenCL.
Software development for modern OpenGL (Core Profile) and Linux.
Experience with version control systems GIT and build system CMake.

Responsibilities

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, plug-ins, 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.
Working with our car teams and control teams to develop interfaces to the vehicles to enable self-driving.
Supporting data collection campaigns for our autonomous vehicle program.
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Creating highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA), and following quality and safety standards such as defined by MISRA.