Job Introduction:
We aim to shape the future of mobility by launching a self-driving car as a product in the context of urban driving . Our teams are inspired by current trends, find the best solutions for the customer and develop the latest and greatest core technologies to master this challenge. We are looking for a talented, energetic and committed individual to strengthen our System Simulation team delaing with Basic Software Stacks of Level3 to Level5 Autonomous vehicles
Your responsibilities will be:
- Building Simulation Plaforms for the Atonomous vehicles.
- BSW Stack know-how – COM, Mem, System
- Simulation of ECU functionalities using virtual environments like Canoe, vVirtual Target etc.
- Validation of the ECU functionalities - Autosar BSW Stack & AD Functions
- Deep debugging tehcniques reaching out to RTE layer.
- You strongly interact and collaborate with international peer groups from different departments as part of an innovative global team.
- Skills : C++, MATLAB, CAPL Python, Understndaing of Automotive communication protocols like CAN, FLEXRAy and Automotive Ethernet..
Training and Onboarding in the project:
- 2 weeks Training on Existing Landscape Prototyping frame work.
- 6 Weeks on-job training in CAPL, Python, CaN, Flexray & Automotive Ethernet.
- 2 Weeks training on Autosar concept and stack integration
- On-Job Training on supplier interaction.
Conversion from PGET to T9 in 9 to 12 months based on Performance.
Job Introduction:
We aim to shape the future of mobility by launching a self-driving car as a product in the context of urban driving . Our teams are inspired by current trends, find the best solutions for the customer and develop the latest and greatest core technologies to master this challenge. We are looking for a talented, energetic and committed individual to strengthen our System Simulation team delaing with Basic Software Stacks of Level3 to Level5 Autonomous vehicles
Your responsibilities will be:
- Building Simulation Plaforms for the Atonomous vehicles.
- BSW Stack know-how – COM, Mem, System
- Simulation of ECU functionalities using virtual environments like Canoe, vVirtual Target etc.
- Validation of the ECU functionalities - Autosar BSW Stack & AD Functions
- Deep debugging tehcniques reaching out to RTE layer.
- You strongly interact and collaborate with international peer groups from different departments as part of an innovative global team.
- Skills : C++, MATLAB, CAPL Python, Understndaing of Automotive communication protocols like CAN, FLEXRAy and Automotive Ethernet..
Training and Onboarding in the project:
- 2 weeks Training on Existing Landscape Prototyping frame work.
- 6 Weeks on-job training in CAPL, Python, CaN, Flexray & Automotive Ethernet.
- 2 Weeks training on Autosar concept and stack integration
- On-Job Training on supplier interaction.
Conversion from PGET to T9 in 9 to 12 months based on Performance.
