Machine Learning Architect
4 weeks ago
Role :
- Development of ML Algorithms for ADAS Perception Features - Lane detection, Object detection, Drivable areas, Classification
- RADAR Perception Software Validation using Synthetic data & real sensor data
- Orchestration of RADAR based Container with ML Algorithms
- Developing applications compliant to AUTOSAR, ASPICE & FuSa topics
- Handson execution of complete development & testing for ADAS, Driver Assistance ECUs
- Involvement in Requirement decomposition from Customer Requirements
- Develop design both Model based / High Level / Low Level derived from Requirements
- Coding for ADAS, Driver Assistance ECU features for the Target Vehicle including Variants
- Develop Test spec at Unit, Integration and SW Component levels
- Involvement in AI Model processing for tuning, testing both in simulated & target hardware
- Execution of SIL, HIL and PIL testing
- Experience and proficient in using relevant lifecycle tools DOORs, CodeBeamer, Jama, EA, Matlab, IDE, TESSY, TPT (one or more in each phase)
- Handson expertise in different communication protocols CAN, LIN, ETHERNET, SPI, UART
- Development, configuration and testing of AUTOSAR MCAL Drivers for 2 or more Microcontrollers using relevant tools like DaVinci, EBTresos (one or both)
- Work Independently and enable team by driving Technical reviews
- Quality Management exposure and adherence to ASPICE during project executions
- Implementation of adherence to Functional Safety requirements
- Team player and able to collaborate with the members to realise project technical objectives
- Inbuilt capability to effectively communicate with diverse stakeholders including Top Management
- Consistently assess and determine risks, develop mitigation strategies and communication to internal and external key stakeholders
- Co-ordination multi-site and multi-discipline teams to successful project completion
Certifications :
- Product Engineering & relevant tool training qualification
- Quality Management Standards like ASPICE
- Functional Safety standards knowhow and implementation exposure
Minimum Qualifications :
- Bachelor's degree in E & C Engineering or related field.
Preferred Qualifications :
- Master's degree in E&C Engineering or related field.
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