hirly

Nvidia

Senior Platform Software Engineer, DriveAV - Autonomous Vehicles

India, Bengaluru

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hirly's read of this role

Role family
Engineering
Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
30 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Nvidia's site ↗

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