Radar Machine Learning Engineer
vor 2 Wochen
Transforming Mobility through Advanced Radar Technology
At THRYVE, we're pushing the boundaries of what's possible in the world of mobility. Our team of experts is dedicated to developing cutting-edge safety systems, high-performance electrification solutions, and data connectivity innovations that empower automakers to deliver exceptional capabilities to people worldwide.
Join Our Mission
We're on a mission to create a world with zero vehicle accidents, zero emissions, and seamless wireless vehicle connectivity. As a Radar Machine Learning Engineer, you'll play a critical role in shaping this vision by working alongside a passionate and international team of technical experts to create new sensors, algorithms, and platforms that drive innovation in mobility.
Your Background
To succeed in this role, you'll need:
- A Master's or Ph.D. in science, technology, physics, engineering, mathematics, or a related field.
- Excellent analytical skills with a strong mathematical foundation.
- Proficiency in programming with modern languages such as C/C++, CUDA, Python, or R.
- Experience in radar signal processing methods or machine learning.
Preferred Qualifications
We're looking for candidates with:
- Experience working on software development as part of a team.
- Familiarity with deep learning toolkits like Theano, PyTorch, TensorFlow, etc.
- Experience with real-time and embedded systems.
- Background in autonomous driving or ADAS technology.
- A proven record of publications in key conferences (CVPR, NIPS, ICCV, ICRA, Fusion) demonstrating the ability to develop leading, competitive solutions.
- Proficiency in German is a plus.
Why THRYVE?
We offer a dynamic and inclusive work environment where everyone can grow and develop regardless of gender, ethnicity, or beliefs. You'll have the opportunity to make a real impact in shaping the future of mobility and contributing to a world with zero fatalities, zero injuries, and zero accidents.
Your Benefits
As a THRYVE employee, you'll enjoy:
- Learning and professional growth in an international environment.
- Access to internal and external training, coaching, and certifications.
- Recognition for innovation and excellence.
- Health-focused benefits including wellness days, discounts at local gyms, and additional accident insurance.
- Price reductions from top providers like Samsung, Adidas, and Fitness First.
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