Posted:
9/30/2024, 9:30:16 PM
Location(s):
Stuttgart, Baden-Württemberg, Germany ⋅ Baden-Württemberg, Germany
Experience Level(s):
Senior
Field(s):
Software Engineering
Workplace Type:
Remote
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 Stuttgart, Germany. The Senior Software Engineer is responsible to spearhead the adaptation and Integration of NVIDIA Drive Software on most desirable vehicles.
What you’ll be doing:
Be responsible for organizing, executing, and supporting (i) the bring-up of the development vehicles as well as scaling the bringup of data collection vehicles; (ii) integrating, adapting and testing of NVIDIA vehicle automation software on test track and on public roads to verify NVIDIA Drive Software on various development prototype vehicles
Interact with OEM and NVIDIA teams to deliver cutting edge ADAS systems
You are willing to travel on test campaigns on different test track spread across different geographies
Debugging, calibrating, and validating different ADAS functions on development S/W releases in prototype vehicles
Understanding the SW builds, flashing the software on the vehicles, testing the functions on road and understanding the functional issues
Tracing the issues back to expert teams, fixing them independently or by working with experts – Guiding teams on improvement ideas from function adaptation
Ensure the traceability from requirements until test results, generate quality test reports and establish test matrix
Be part of an internationally distributed team with remote locations in Europe, US, APAC and India
What we need to see:
Good working understanding of Linux and/or QNX.
5+ years of experience for in-vehicle activities.
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.
Experience working on complex embedded software projects, experience in automotive would be definite plus.
Gathered experience in all phases of functional adaptation/testing and in-vehicle software bring-up.
A valid Driving license.
Good written and verbal interpersonal skills - concisely articulate knowledge and ideas.
Excellent written and oral skills in English.
Willing to travel as required.
Ways to stand out from the crowd:
Excellent programming skills in C, C++ and Python.
Self-motivated and work effectively across different international functional organizations.
Working experience with ADAS or autonomous driving applications.
Knowledge of complex SoC based automotive systems- Working knowledge of CUDA and GPU’s would be an advantage.
Experience in functional development, adaptation and testing of automotive software based on various sensors (e.g. camera, radar, lidar, GPS, ultrasound etc.). Good knowledge of process standards like ASPICE & ISO26262.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative test engineer with a sincere real passion for technology, we want to hear from you.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality