Senior Platform Software Engineer
NVIDIA
Senior Platform Software Engineer
NVIDIA
Designs the chips and software that power AI
The automotive industry is at disruption & NVIDIA is at the forefront of the autonomous vehicle revolution, powering many key solutions for major car manufacturers. We are engaged in the key areas of automotive business where visual computing & AI matters: AI Cockpit and Autonomous Vehicles (AV). Autonomous vehicles need a supercomputer on wheels; it's an AI & SW heavy computational challenge. There is not an off-the-shelf platform which stands up to this challenge, so we are building our own. You have technically mastered your field, gathered several years of senior experience in cracking complex problems and now seeking a next challenge? Join our automotive teams and apply now! We are now looking for a Senior Software Engineer, based in Bangalore, India to join our Autonomous Driving Software team to contribute to customer engagements.
What you’ll be doing:
Support adaptation of NVIDIA AV Software platform to the customer ECU, Vehicle environment.
Regularly engage with customer teams to productize workflows for platform integration
Analyse, debug, fix bugs in the SW platform components to deliver high quality SW releases to customers
Enhance integration efficiency to facilitate low latency development on Autonomous Vehicle Simulation & Car platforms
Contribute to platform software development, tools, filesystem customization, and software integration
What we need to see:
BS or MS degree from a leading university, or equivalent experience, in an engineering or computer science related discipline with 8+ years of relevant working experience
Working experience with ADAS or autonomous driving software stack, particularly platform SW components, middleware & sensors
Proficient debugging skills from application to kernel level on embedded hardware
Good working knowledge of Linux and QNX and experience with device drivers
Excellent programming skills in C, C++ and understanding of build systems (like Bazel)
Good written and verbal interpersonal skills - concisely articulate knowledge and ideas
Ways to stand out from the crowd:
Experience in functional development, adaptation and testing of automotive software based on various sensors (e.g. camera, radar, lidar, GPS, ultrasound etc.)
Experience developing software in heterogeneous architectures, including GPUs and other types of accelerators
Good knowledge of process standards like ASPICE & ISO26262.
Self-motivated and work effectively across different international functional organizations
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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