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Integrate ADAS functions and tune the software parameters to achieve the best customer experience.
Drive the roll-out onto the fleet across dozens of carlines.
Installing, trouble-shooting and operating software.
Understand the quality standards and expected functionality of brand-new features. Align and report results to customers and the development organization.
Analyze & diagnose the underlying events contributing to these metrics, identify issues and help improving the product experience
Bachelor's or Master’s degree in an engineering field, and at least 3 years of work experience in a related industry.
Good knowledge of embedded systems and C/C++ and a scripting language (Python, Bash, etc) to be proficient operating a complex software stack.
Ability to work efficiently with Linux and QNX environments on the command line.
Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, soft skills for customer interaction.
Passion for working on cars, autonomous driving or software engineering.
Onsite attendance in one of the development and testing locations in the greater Sindelfingen / Stuttgart area is required daily. Flexibility of work hours and willingness to travel around Europe to support testing in many locations.
Experience as ADAS software engineer at a Tier 1 or OEM.
Well-rounded knowledge of how an autonomous vehicle stack (or similar large system) works, and practical experience dealing with the challenges in integrating many components into one solution
Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet).
EU driver license and advanced driving skills for test driving prototypes that requires a special training and license (T2)
These jobs might be a good fit

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What you’ll be doing:
Supporting the adaptation, integration and testing of NVIDIA vehicle automation software in customer vehicle variants.
Installing, trouble-shooting and operating software.
Collect test data or tune parameters live in-car or on a bench.
Understand the quality standards and expected functionality of brand-new ADAS features.
Analyze & diagnose the underlying events contributing to these metrics, identify issues and help improving the product experience
What we need to see:
An interest in technology, automotive, software or hardware engineering and relevant coursework.
A last year BSc or MSc student
Experience with embedded systems and C/C++ or a scripting language (Python, Bash, etc) to be proficient operating a complex software stack.
Ability to work efficiently with Linux and QNX environments on the command line.
Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, soft skills for customer interaction.
Passion for working on cars, autonomous driving or software engineering
Onsite attendance in the development and testing location in Sindelfingen is expected daily
Ways to stand out from the crowd:
Dual studies or an internship experience as ADAS software engineer at a Tier 1 or OEM.
Well-rounded knowledge of how an autonomous vehicle stack (or similar large system) works, and practical experience dealing with the challenges in integrating many components into one solution
Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet).
These jobs might be a good fit

Share
Integrate ADAS functions and tune the software parameters to achieve the best customer experience.
Drive the roll-out onto the fleet across dozens of carlines.
Installing, trouble-shooting and operating software.
Understand the quality standards and expected functionality of brand-new features. Align and report results to customers and the development organization.
Analyze & diagnose the underlying events contributing to these metrics, identify issues and help improving the product experience
Bachelor's or Master’s degree in an engineering field, and at least 3 years of work experience in a related industry.
Good knowledge of embedded systems and C/C++ and a scripting language (Python, Bash, etc) to be proficient operating a complex software stack.
Ability to work efficiently with Linux and QNX environments on the command line.
Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, soft skills for customer interaction.
Passion for working on cars, autonomous driving or software engineering.
Onsite attendance in one of the development and testing locations in the greater Sindelfingen / Stuttgart area is required daily. Flexibility of work hours and willingness to travel around Europe to support testing in many locations.
Experience as ADAS software engineer at a Tier 1 or OEM.
Well-rounded knowledge of how an autonomous vehicle stack (or similar large system) works, and practical experience dealing with the challenges in integrating many components into one solution
Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet).
EU driver license and advanced driving skills for test driving prototypes that requires a special training and license (T2)
These jobs might be a good fit