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Computer Vision Engineer
hace 3 semanas
**Key Responsibilities**:
- Develop and implement computer vision algorithms for edge devices, including object detection, recognition, tracking, and segmentation.
- Optimize computer vision algorithms to run efficiently on edge devices with limited computational resources.
- Design and implement software architecture for computer vision systems on edge devices.
- Collaborate with hardware engineers to optimize performance and minimize power consumption.
- Test and evaluate computer vision algorithms on various edge devices to ensure functionality and performance.
- Stay up-to-date with the latest research and advancements in computer vision and machine learning.
**Requirements**:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Strong proficiency in computer vision libraries such as OpenCV, TensorFlow, and PyTorch.
- Experience with low-level programming languages such as C++ and CUDA.
- Familiarity with hardware design and optimization for edge devices.
- Ability to work in a team environment and communicate effectively with cross-functional teams.
**Timing**:8AM to 5PM EST
**How we work**:
- We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams.
- We value open discussion, ownership, and a founder mindset.
- We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making.
- We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats.
- We offer a 100% remote workplace model, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes.
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