What are the responsibilities and job description for the Software Development Engineer - Computer Vision position at Intelliswift?
Job ID : 25-06690 100% Onsite
Must Have
Ability to code in C
Background in open CV
Experience with Docker
This person will be working on a problem that has a computer vision background. Opportunity to work with a Sr. Applied Scientist, providing high visibility,
Basic Qualifications :
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- Proficient coding skills in Python and C / C
- Experience in creating Python bindings for C / C libraries
- Solid understanding and hands-on experience with CMake and Git version control
- Proven experience with Docker containerization
- Familiarity with AWS cloud services and infrastructure
- Strong command of Linux and shell scripting
Preferred Qualifications :
Key Responsibilities :
1. Develop and maintain computer vision software using Python and C / C
2. Design and implement efficient algorithms for image processing and analysis
3. Collaborate with cross-functional teams to integrate computer vision solutions into larger systems
4. Optimize code for performance, especially for embedded and GPU-accelerated platforms
5. Containerize applications using Docker for easy deployment and scalability
6. Utilize AWS services for cloud-based processing and storage of visual data
7. Contribute to the development of stereo vision systems and 3D reconstruction algorithms
8. Implement and maintain CI / CD pipelines using Git and other DevOps tools
KPI :
Number of Code comments; Ability to act independently; Ability to provide onfield support as needed
Leadership Principles :
1. Ownership
2. Delivers Results
3. Insists on the highest standards
Job Description :
As a Software Development Engineer specializing in computer vision, you will be responsible for developing, implementing, and maintaining software solutions.
You will work on projects that involve image processing and embedded systems, utilizing your expertise in both software engineering and computer vision.
POSSIBILITY FOR DOMESTIC TRAVEL DURING THE 2 ND HALF OF THE ASSIGNMENT
