Senior Platform Software Engineer, DriveAV - Autonomous Vehicles at NVIDIA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, Python, Bazel, ADAS, Autonomous driving, Linux, QNX, Embedded hardware, Software architecture, Debugging, Kernel development, AUTOSAR, GPU, ASPICE, ISO26262

Industry

Computer Hardware Manufacturing

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. What you’ll be doing: Work on the SW platform components of the NVIDIA autonomous driving software stack Analyse, debug, fix bugs in the SW platform components to deliver high quality SW releases to customers Contribute to platform software development, tools, filesystem customization, and software integration Enhance integration efficiency to facilitate low latency development on Autonomous Vehicle Simulation & Car platforms Regularly engage with customer teams to productize workflows for platform 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 5+ years of relevant working experience Excellent programming skills in C, C++ and Python and understanding of build systems (like Bazel) Working experience with ADAS or autonomous driving software stack Good working knowledge of Linux and QNX Proficient debugging skills from application to kernel level on embedded hardware Experience in software architecture design 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.) Background in automotive ECU software integration, in Classic and Adaptive AUTOSAR 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

You will work on the software platform components of the NVIDIA autonomous driving stack, including analysis, debugging, and integration. You will also engage with customer teams to productize workflows and facilitate low-latency development on simulation and car platforms.