Associate Requirements Engineer - J0047998
- Strong academic or practical background in Data Science, including familiarity with machine learning concepts, statistical analysis, and data handling.
- Basic understanding of cloud platforms (AWS, Azure, or GCP) and core data-related services.
- Academic project or foundational experience in the automotive industry, specifically AD/ADAS and/or vehicle control systems, is a significant plus. An understanding of vehicle data types is beneficial.
- Excellent analytical and problem-solving skills.
- Strong communication skills (written and verbal), with the ability to articulate technical concepts clearly.
- Ability to work collaboratively in a team-oriented, agile development environment.
- General understanding of SDV Enablers, Zonal Network, high-performance central compute modules, automated driving, AI, machine learning, perception modules, connected mobility, MLOps, and OTA updates.
- Technical experience:
- Familiarity with big data technologies (e.g., Spark, Kafka) through coursework or projects.
- Exposure to data governance or data quality concepts.
- Understanding of embedded systems or vehicle software development.
- Good understanding of vision systems, camera sensors, image data processing, object detection, labeling, annotation.
- V-Model, ASPICE, MISRA, ISO26262, Cybersecurity and Agile framework.
- Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
- Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.
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