Our Autonomous Vehicles Platform Team is searching for a hands-on systems and software platform engineer to design ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will collaborate with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving platform.
We are seeking a skilled software engineer with interest in crafting, developing and maintaining the application framework and tools that we use to develop self-driving solutions on multi-computer and heterogeneous architectures.
What you will be doing:
Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements
Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling
Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines
Solidifying existing frameworks and software components, and validate with large amounts of real and synthetic data for the improvements of the computational performance and system utilization
Performing in-vehicle tests, collecting data, and completing autonomous drive missions
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions
Developing 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:
4+ years of relevant industry experience
BS/MS or higher or equivalent experience in computer engineering, computer science or related engineering disciplines
Excellent C and C++ programming skills
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
Strong knowledge on Linux, QNX, and/or other real-time operating systems
Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer
Thrive on writing low latency, highly performant code
Great communication and analytical skills
Ways to stand out from the crowd:
Understanding of embedded architectures
Experience developing software in heterogeneous architectures, including GPUs
Knowledge of automotive systems, notably ADAS applications
Software development for modern OpenGL (Core Profile) and Linux
Experience with version control systems GIT and build system like CMake/Bazel
NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and dedicated people in the world working here. If you want to help make robotics progress in challenging contexts, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
