logo

AI Job Summary

Support 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.

AI Resume Tailoring Sign in to use this AI AI Cover Letter Sign in to use this AI

Job Description

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

Do you match this job?

Sign in and we will show how your role, experience, salary and location line up against what this employer asked for.

Check my match
NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

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.

All jobs at NVIDIA

Location

India

Job Overview
Job Posted:
1 month ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
5+ years

Share This Job: