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Senior Platform Software Engineer, DriveAV - Autonomous Vehicles

Nvidia

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  1. Why do you want to join Nvidia?
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  3. How do you decide what to test, and what does good code review look like to you?
  4. Describe a time a deadline forced a trade-off in quality. What did you choose and why?
  5. How would you design an API for a feature you have worked on?

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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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Listed on workday · posted 2026-10-01. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.