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Machine Learning Architect
1 month ago
Job Summary:
At Cientra Techsolutions, we are seeking a highly skilled Machine Learning Architect to join our team. As a key member of our ADAS Perception team, you will be responsible for developing and implementing machine learning algorithms for advanced driver-assistance systems (ADAS).
Key Responsibilities:
- Design and develop machine learning algorithms for ADAS perception features, including lane detection, object detection, and drivable area classification.
- Validate RADAR perception software using synthetic data and real sensor data.
- Orchestrate RADAR-based containers with machine learning algorithms.
- Develop applications compliant with AUTOSAR, ASPICE, and functional safety standards.
- Execute complete development and testing for ADAS and driver-assistance ECUs.
- Participate in requirement decomposition from customer requirements.
- Develop designs for both model-based and high-level/low-level derived from requirements.
- Coding for ADAS and driver-assistance ECU features for target vehicles, including variants.
- Develop test specifications at unit, integration, and software component levels.
- Participate in AI model processing for tuning and testing in simulated and target hardware.
- Execute SIL, HIL, and PIL testing.
- Experience and proficiency in using relevant lifecycle tools, such as DOORs, CodeBeamer, Jama, EA, Matlab, IDE, TESSY, and TPT.
- Hands-on expertise in different communication protocols, including CAN, LIN, ETHERNET, SPI, and UART.
- Development, configuration, and testing of AUTOSAR MCAL drivers for 2 or more microcontrollers using relevant tools like DaVinci and EBTresos.
- Work independently and enable team members 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 members to realize project technical objectives.
- Effective communication with diverse stakeholders, including top management.
- Consistent assessment and determination of risks, development of mitigation strategies, and communication to internal and external key stakeholders.
- Coordination of multisite and multidiscipline teams for successful project completion.
Certifications:
- Product engineering and relevant tool training qualification.
- Quality management standards like ASPICE.
- Functional safety standards knowledge 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.