Senior Computer Vision Engineer
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Key skills for this role
About the Role
LevelUP HCS is seeking a Senior Computer Vision Engineer to lead development of visual tracking and image processing algorithms for thermal camera systems in unmanned platforms. The role requires 8+ years of experience in computer vision, embedded systems, and real-time algorithm deployment.
Key Skills for This Role
Responsibilities
- Design and develop cutting edge visual object tracking and image processing algorithms
- Implement image correction techniques including Bad Pixel Correction, NUC, and thermal calibration
- Execute calibration procedures such as factory line NUC table generation and environmental compensation
- Develop and optimize tracking algorithms (e.g., correlation filters, deep learning based, feature based)
- Integrate tracking solutions into real time embedded systems with low latency performance
- Collaborate with cross functional teams for seamless hardware software integration
- Implement sensor fusion strategies using data from cameras, lidar, and other sensors
- Enhance trackers to adapt to dynamic environments (lighting, weather, terrain)
- Apply machine learning to enable adaptive tracking in evolving scenarios
- Benchmark and evaluate algorithm performance for unmanned applications
- Optimize algorithms for resource constrained environments
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fields
- 8+ years of experience in computer vision and image processing
- Proficient in C/C++ and Python
- Strong knowledge of machine learning and tracking algorithms
- Experience with CUDA and NVIDIA platforms
- Skilled in deploying algorithms on DSPs and FPGAs
- Familiar with version control systems and code maintenance
- Excellent communication skills in English
Full Job Posting
Position Overview
- We are looking for a highly experienced Senior Computer Vision Engineer to lead the development of advanced visual tracking and image processing algorithms for thermal camera systems used in unmanned platforms.
- This role is ideal for someone with a strong background in embedded systems, machine learning, and real time algorithm deployment.
Core Responsibilities
- Design and develop cutting edge visual object tracking and image processing algorithms.
- Implement image correction techniques including Bad Pixel Correction, NUC, and thermal calibration.
- Execute calibration procedures such as factory line NUC table generation and environmental compensation.
- Develop and optimize tracking algorithms (e.g., correlation filters, deep learning based, feature based).
- Integrate tracking solutions into real time embedded systems with low latency performance.
- Collaborate with cross functional teams for seamless hardware software integration.
- Implement sensor fusion strategies using data from cameras, lidar, and other sensors.
- Enhance trackers to adapt to dynamic environments (lighting, weather, terrain).
- Apply machine learning to enable adaptive tracking in evolving scenarios.
- Benchmark and evaluate algorithm performance for unmanned applications.
- Optimize algorithms for resource constrained environments.
Supporting Responsibilities
- Conduct lab and field tests to validate image quality and thermal sensitivity.
- Document algorithms, methodologies, and integration processes.
- Design and execute testing protocols for real world validation.
- Contribute to technical reports and documentation.
- Maintain disciplined coding practices including commenting and bug tracking.
- Mentor and train junior engineers.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fields.
- 8+ years of experience in computer vision and image processing.
Key Skills:
- Proficient in C/C++ and Python.
- Strong knowledge of machine learning and tracking algorithms.
- Experience with CUDA and NVIDIA platforms.
- Skilled in deploying algorithms on DSPs and FPGAs.
- Familiar with version control systems and code maintenance.
- Excellent communication skills in English.
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