Description & Requirements
About the Role
As part of our Divisional Technology team, the ADAS Lab will develop scalable, market- and segment-specific ADAS integration concepts up to SAE L3 for different controller families comprising the full spectrum from system definition to manufacturing impact. You will assist our sensor and perception expert to analyze & benchmark ADAS/AD technology trends in the sensing and perception domain as well as support our Design, Architecture & Validation Concepts, and Feature Integration teams. You will get in contact with all measures to analyze & benchmark ADAS/AD technology in the sensing and perception domain.
What You Will Do
- Assist in ADAS sensor and perception databases building for technology, product, and market.
- Assist in ADAS sensor and perception reports writing for technical consulting and knowledge sharing.
- Assist in ADAS feature benchmarking, up to L2+
- Assist in ADAS model deployment (GPU and NPU) and prototypic validation.
- Assist in collaboration with universities.
What You Need
- Undergraduate Student in Information and Communication Technology, Physics, Electrical Engineering, Computer Science, or comparable experience.
- Good understanding of at least one of following topics
- ADAS sensor (camera, Radar, Lidar) technology, product, or market
- ADAS perception model technology, product, or market
- Good understanding of MS Excel and other office software.
- Fluent communication skills in English.
What is Nice to Have
- Master or PHD student in related field for intelligent cockpit ADAS technology, and/or market,
- Being curious and having enthusiasm for smart vehicles with intelligent cockpit and ADAS.
- Self-motivated individual with willingness to learn.
- First Experience with any of following topics
- Radar and/or Lidar sensor algorithms development with Python/C++/others
- Camera sensor algorithms with Python/C++/others
- Familiar with any of following topics
- E2E
- Object detection/classification
- Image segmentation
- Object Tracking and Fusion
- Point Cloud Processing
- Camera/Radar/Lidar Simulation
What Makes You Eligible
- Willingness to work in Harman office in Xuhui District, Shanghai, China.
- Minimum 3 attendance days per week, 4 days will be better.
What We Offer
Extensive training opportunities through our own HARMAN University.
An inclusive and diverse work environment that fosters and encourages professional and personal development.
Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission.
Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need. While the above range is a reasonable estimate of the wage range for this position, please note the disclosed range estimate has not been adjusted for the applicable geographical differential associated with the location where the position may be filled.