NVIDIA
Full TimeSupport NVIDIA's autonomous vehicle software platform by adapting it to customer vehicle environments, debugging platform components, and enhancing integration efficiency across simulation and hardware. Based in Bangalore, this role requires 8+ years of experience with ADAS or autonomous driving software, proficiency in C/C++, Linux and QNX, and kernel-level embedded debugging skills. You'll collaborate with customer teams on platform integration workflows and contribute to tools, drivers, and software development.
Written from this posting by Neural Jobs AI. The full description is below.
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
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
India
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