Senior System Software Engineer – Autonomous Vehicles Job Vacancy in NVIDIA Pune, Maharashtra – Updated today

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Company Name :
NVIDIA
Location : Pune, Maharashtra
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Job Description : NVIDIA is hiring a Senior Engineers System Software, for Autonomous Vehicles.

Intelligent machines powered by Artificial Intelligence Computers that can learn, reason and interact with people, are no longer a 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. Using image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company”. Make the choice to join us today.

Our team builds the NVIDIA Drive Software, with the goal to provide a scalable software stack and framework to power autonomous vehicles. We are looking for hands-on software engineers to join us to redefine the way cars drive. As part of the team, you will work on our vehicle abstraction layer, the software that interfaces the self driving application with the rest of the systems onboard the vehicle, such as cockpit and visualization, drive-by-wire, UI/UX for user commands, all the way to transport protocols, error notification and handling and logging and recording. You will have the chance to define and develop interfaces and plugins meant to be extended by customers to develop customized solutions around our Drive system and their vehicles.

What You Will Be Doing:
Design and develop optimal software abstractions and plugin frameworks for real-world interfacing to 3rd party systems exceeding customer requirements.
Developing efficient and easy to use mechanisms to improve the integration level of our software in any vehicle.
Working on areas such as component abstraction layers, inter-process data sharing and communication.
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 In You:
BE/BTech or higher degree in computer engineering, computer science or related engineering fields or equivalent experience
5+ years of relevant industry experience
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, 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
Phenomenal communication and analytical skills
Self-motivated and a great teammate
Ways You Can Stand Out From The Crowd:
Understanding of embedded architectures
Experience on developing software in heterogeneous architectures, including GPUs
Knowledge of automotive systems, notably ADAS applications, AUTOSAR and drive by wire systems
Software development for modern OpenGL (Core Profile) and Linux
Experience with version control systems GIT and build system like CMake/Bazel
Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation

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