Generate AI Drafted
Cover Letter & Resume
Overview
Exp. required: Senior (6+ yrs)
C/C++
Python
Bash
Linux
QNX
Autosar
CI/CD
Dockers
CAN
Flexray
Ethernet
Job Description
- Seamlessly integrate and optimize system software components for automotive applications.
- Craft and maintain automation pipelines to streamline processes.
- Dive deep into analysis, diagnosing root causes, and refining the product experience.
- Collaborate globally with engineering teams in the US, APAC, and Europe to deliver cutting-edge solutions.
- Focus on developing and testing infrastructure components to preempt issues before they impact vehicles.
Job Requirements
- Bachelor's or Master’s degree in an engineering field with over 5 years of experience as an ADAS software engineer.
- Proficiency in embedded systems, C/C++, and scripting languages.
- Solid grasp of embedded systems, real-time operating systems, ADAS sensor sets, and software integration principles.
- Knowledge of Autosar, Linux, QNX environments, CI/CD topics, version control, and Dockers.
- Familiarity with vehicle architecture and communication protocols such as CAN, Flexray, and Ethernet.
- Regular presence in the Sindelfingen/Stuttgart area and flexibility in work hours.
Benefits
- Opportunity to shape the future of automotive technology with NVIDIA.
- Chance to work on cutting-edge technologies in AI computing, data science, and graphics.
- Collaborate with a global team of visionaries in reshaping industries worldwide.
- Be part of a vibrant community that's redefining the technological landscape.
- Competitive salary and benefits package offered by NVIDIA.
Company Description: NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founder: Not Found
Year Founded: 1993
Headquarter: Santa Clara, CA
Ownership: Public Company
Number of Employees: 10,001+ employees
Investment Raised: Not Found
Global Ranking: 4
Email: Not Found
Industry
Computer Hardware Manufacturing
Specialties
GPU-accelerated computing
artificial intelligence
deep learning
virtual reality
gaming
self-driving cars
supercomputing
robotics
virtualization
parallel computing
professional graphics
automotive technology