Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun.
We are now looking for a Manager of System Software Engineering - Framework, to join our Autonomous Vehicles next generation team! Our team builds the NVIDIA DriveAV SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers 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. If you want to be part of the next generation of autonomous vehicle technology, join us!
What you will be doing:
Managing the development and optimization of 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 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:
BS or MS in Computer Engineering, Computer Science or related field (or equivalent experience).
8+ years of overall relevant industry experience including 3+ years of experience leading a team.
Excellent C and C++ programming skills.
Experience developing and debugging multi-threaded/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, Android, 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. Self-motivated and a great teammate.
Ways to stand out from the crowd:
Understanding of embedded architectures, image processing APIs (e.g. OpenCV) and MATLAB tools.
Experience with any of the following: developing software in heterogeneous architectures, including GPUs; version control systems GIT; build system like CMake/Bazel.
Knowledge of automotive systems, notably ADAS applications.
Software development for modern OpenGL (Core Profile) and Linux.
Demonstrate hands-on collaboration within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearningTop 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.”
