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🔥 We challenge you!
As an Embedded Systems Engineer at Velotech.ai, you will play a crucial role in developing and optimizing our embedded systems for real-time sensor fusion, computer vision, and data analysis.
You will be responsible for designing, implementing, and testing embedded software solutions that integrate and process data from various sensors, including cameras, LiDAR, and IMU.
Your expertise in sensor fusion and computer vision algorithms will be instrumental in ensuring the accuracy and reliability of our systems.
👉🏼 You are
A passionate and skilled Embedded Systems Engineer with a strong foundation in computer vision and sensor fusion.
A creative problem-solver who thrives in a fast-paced, dynamic environment. A team player who enjoys collaborating with talented individuals to achieve common goals.
Committed to developing innovative solutions that have a positive impact on public safety.
Key characteristics we're looking for:
Technical expertise: Proficiency in embedded systems development, C/C++, and relevant frameworks (e.g., ROS, OpenCV).
Deep understanding: Strong knowledge of sensor fusion, object detection, and classification algorithms.
Problem-solving: Ability to identify and overcome technical challenges.
Collaborative mindset: Enjoy working in a team and contributing to a shared vision.
Passion for innovation: Excited about developing cutting-edge technology to make a difference.
👩💻 Requirements
Skills:
Strong proficiency in C/C++ and embedded systems development.
Deep understanding of sensor fusion and computer vision algorithms.
Experience with relevant frameworks like ROS, OpenCV, and TensorFlow.
Knowledge of hardware platforms such as NVIDIA Jetson or Raspberry Pi.
Excellent problem-solving and analytical skills.
Experience:
- Minimum of 2 years of experience in embedded systems development, preferably in a related field.
Availability: Full-time availability to work in our Amsterdam office.
Additional preferred qualifications:
- Experience with machine learning and deep learning frameworks.
- Knowledge of cloud platforms and cloud-native development.
- Experience with real-time operating systems (RTOS).
- A passion for innovation and a desire to make a positive impact.
🏦 What do you get in return?
Equity and salary tbd on expertise, skillset.
