NVIDIASenior Platform Software Engineer, DriveAV - Autonomous Vehicles
AI in this role
Senior Platform Software Engineer to adapt and integrate NVIDIA's autonomous vehicle software platform for customer ECUs and vehicle environments.
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
How we rate this
Senior Platform Software Engineer, DriveAV - Autonomous Vehicles at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where autonomous vehicles was part of your work. What did you do?
- Tell me about a project where embedded systems was part of your work. What did you do?
- Tell me about a project where software integration was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
- Walk me through how you've used Linux in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Autonomous Vehicles, Embedded Systems, Software Integration, Debugging, and Linux. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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