NVIDIA Germany
System Software Integration Engineer - Autonomous Vehicles(m/w/x)
Full-timeOn-siteExperienced
München
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NVNVIDIA
Software Engineer – Autonomous Driving(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Developing C/C++ planning and control algorithms for NVIDIA's autonomous driving software stack. Minimum 2 years of real-time embedded control systems experience required. 4-day work week, company car for private use.
Requirements
- Solid software development skills (C/C++)
- Prior knowledge of trajectory planning, vehicle control, vehicle ECU, Drive-by-Wire systems, in-vehicle network, and autonomous vehicles
- BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Engineering Cybernetics, Computer Science, or equivalent experience
- Knowledge and hands-on application of advanced control theories (classical control, nonlinear control, MPC, optimal control)
- Minimum 2 years of experience in C/C++ software development for real-time embedded control systems (e.g., vehicle ECU systems)
- Understanding of test and verification methodologies for automotive software; know-how in writing unit and system level tests
- Good communication and organization skills, logical problem-solving, good time management and task prioritization
- Proactive 'can do' attitude and ability to work with minimum supervision
- Willingness to travel around Europe to support NVIDIA partners
- Experience as control software engineer at automotive Tier 1 or OEM
- Experience in NCAP and ADAS functions testing and validation
- Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet)
- Driving experience in Europe, ideally certified test driver
Tasks
- Support design and development of advanced automotive control algorithms
- Adapt NVIDIA’s autonomous driving software stack to meet vehicle dynamics KPIs
- Integrate and adapt NVIDIA's in-vehicle solutions for different platforms
- Test and tune controller performance across various vehicle types and environments
- Debug controller issues in test campaigns and simulations
- Provide feedback on system architecture, failure modes, and redundancy
- Collaborate with architecture, tools, and system software teams
- Influence design of next-generation architectures and software platforms
- Investigate impact on application performance and development productivity
Work Experience
- 2 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- C/C++
- CAN
- LIN
- Ethernet
Benefits
Competitive Pay
- Highly competitive salaries
Other Benefits
- Comprehensive benefits package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NVNVIDIA
Software Engineer – Autonomous Driving(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Developing C/C++ planning and control algorithms for NVIDIA's autonomous driving software stack. Minimum 2 years of real-time embedded control systems experience required. 4-day work week, company car for private use.
Requirements
- Solid software development skills (C/C++)
- Prior knowledge of trajectory planning, vehicle control, vehicle ECU, Drive-by-Wire systems, in-vehicle network, and autonomous vehicles
- BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Engineering Cybernetics, Computer Science, or equivalent experience
- Knowledge and hands-on application of advanced control theories (classical control, nonlinear control, MPC, optimal control)
- Minimum 2 years of experience in C/C++ software development for real-time embedded control systems (e.g., vehicle ECU systems)
- Understanding of test and verification methodologies for automotive software; know-how in writing unit and system level tests
- Good communication and organization skills, logical problem-solving, good time management and task prioritization
- Proactive 'can do' attitude and ability to work with minimum supervision
- Willingness to travel around Europe to support NVIDIA partners
- Experience as control software engineer at automotive Tier 1 or OEM
- Experience in NCAP and ADAS functions testing and validation
- Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet)
- Driving experience in Europe, ideally certified test driver
Tasks
- Support design and development of advanced automotive control algorithms
- Adapt NVIDIA’s autonomous driving software stack to meet vehicle dynamics KPIs
- Integrate and adapt NVIDIA's in-vehicle solutions for different platforms
- Test and tune controller performance across various vehicle types and environments
- Debug controller issues in test campaigns and simulations
- Provide feedback on system architecture, failure modes, and redundancy
- Collaborate with architecture, tools, and system software teams
- Influence design of next-generation architectures and software platforms
- Investigate impact on application performance and development productivity
Work Experience
- 2 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- C/C++
- CAN
- LIN
- Ethernet
Benefits
Competitive Pay
- Highly competitive salaries
Other Benefits
- Comprehensive benefits package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA
Industry
Automotive
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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