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System Software Integration Engineer - Autonomous Vehicles(m/w/x)
Integrating and optimizing automotive system software, crafting and maintaining automation pipelines for AV development. 2-3 years ADAS software engineering experience at Tier 1/OEM, with C/C++ and embedded systems proficiency, required. Work with cutting-edge AI/GPU technologies.
Anforderungen
- Bachelor's or Master's degree in engineering field
- Minimum 2-3 years experience as ADAS software engineer at Tier 1, OEM, or equivalent
- Exceptional problem-solving and analytical skills
- Proficiency in embedded systems
- Proficiency in C/C++
- Proficiency in scripting languages (Python, Bash, etc.)
- Top-notch debugging and diagnostic abilities
- Solid grasp of embedded systems
- Solid grasp of real-time operating systems
- Solid grasp of ADAS sensor sets
- Solid grasp of software integration principles
- Proficiency in Linux and QNX environments
- Extensive knowledge of autonomous vehicle stack integration
- Firsthand experience overcoming system challenges
- Knowledge of CI/CD topics
- Knowledge of version control
- Knowledge of Dockers
- Familiarity with vehicle architecture
- Familiarity with communication protocols (CAN, Flexray, Ethernet)
- Willingness to travel to customer locations across Europe
- Flexibility in work hours
- Proven track record of series introduction of automotive projects
- Contribution to OEM-based product
- Firsthand experience in customer-facing roles
- Familiarity with System in Loop (SiL) and Hardware in Loop (HiL) systems
- Familiarity with essential simulation tools
- Understanding of OEM factory processes and requirements
- EU driver's license
- Advanced driving skills
- T2 certification for test driving prototypes
Aufgaben
- Integrate and optimize automotive system software
- Craft automation pipelines
- Maintain automation pipelines
- Perform in-depth analysis
- Diagnose root causes
- Refine the product experience
- Collaborate with US, APAC, and Europe engineering teams
- Manage integration paths for safety-critical systems
- Oversee system transition from prototype to mass production
Berufserfahrung
- 2 - 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C/C++
- Python
- Bash
- Embedded systems
- Real-time operating systems
- ADAS sensor sets
- Linux
- QNX
- CI/CD
- Docker
- CAN
- Flexray
- Ethernet
- System in Loop (SiL)
- Hardware in Loop (HiL)
- Simulation tools
Noch nicht perfekt?
- NVIDIAVollzeitnur vor OrtSeniorMünchen
- Valeo
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Senior Software Engineer – AI and Autonomous Driving(m/w/x)
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System Software Integration Engineer - Autonomous Vehicles(m/w/x)
Integrating and optimizing automotive system software, crafting and maintaining automation pipelines for AV development. 2-3 years ADAS software engineering experience at Tier 1/OEM, with C/C++ and embedded systems proficiency, required. Work with cutting-edge AI/GPU technologies.
Anforderungen
- Bachelor's or Master's degree in engineering field
- Minimum 2-3 years experience as ADAS software engineer at Tier 1, OEM, or equivalent
- Exceptional problem-solving and analytical skills
- Proficiency in embedded systems
- Proficiency in C/C++
- Proficiency in scripting languages (Python, Bash, etc.)
- Top-notch debugging and diagnostic abilities
- Solid grasp of embedded systems
- Solid grasp of real-time operating systems
- Solid grasp of ADAS sensor sets
- Solid grasp of software integration principles
- Proficiency in Linux and QNX environments
- Extensive knowledge of autonomous vehicle stack integration
- Firsthand experience overcoming system challenges
- Knowledge of CI/CD topics
- Knowledge of version control
- Knowledge of Dockers
- Familiarity with vehicle architecture
- Familiarity with communication protocols (CAN, Flexray, Ethernet)
- Willingness to travel to customer locations across Europe
- Flexibility in work hours
- Proven track record of series introduction of automotive projects
- Contribution to OEM-based product
- Firsthand experience in customer-facing roles
- Familiarity with System in Loop (SiL) and Hardware in Loop (HiL) systems
- Familiarity with essential simulation tools
- Understanding of OEM factory processes and requirements
- EU driver's license
- Advanced driving skills
- T2 certification for test driving prototypes
Aufgaben
- Integrate and optimize automotive system software
- Craft automation pipelines
- Maintain automation pipelines
- Perform in-depth analysis
- Diagnose root causes
- Refine the product experience
- Collaborate with US, APAC, and Europe engineering teams
- Manage integration paths for safety-critical systems
- Oversee system transition from prototype to mass production
Berufserfahrung
- 2 - 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C/C++
- Python
- Bash
- Embedded systems
- Real-time operating systems
- ADAS sensor sets
- Linux
- QNX
- CI/CD
- Docker
- CAN
- Flexray
- Ethernet
- System in Loop (SiL)
- Hardware in Loop (HiL)
- Simulation tools
Über das Unternehmen
NVIDIA Germany
Branche
IT
Beschreibung
The company develops deep learning platforms that significantly impact the industry and are widely used across various sectors.
Noch nicht perfekt?
- NVIDIA
Senior Software Engineer – ADAS(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Valeo
Software Integration Lead IVI(m/w/x)
Vollzeitnur vor OrtManagementGarching bei München - 0100 Harman Becker Automotive Systems GmbH
Principal Engineer, System Validation Concept (ADAS)(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SE3 Labs
Systems Software Integration Intern(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - NVIDIA
Senior Software Engineer – AI and Autonomous Driving(m/w/x)
Vollzeitnur vor OrtSeniorMünchen