Senior Software Engineer

Title: Python/C++ Developer Location: Massachusetts 01581 United States Duration: 06 Months Software Development Engineer - Computer Vision We are seeking a talented and experienced Software Development Engineer preferably with a background in computer vision to join our innovative team. The ideal candidate will contribute projects involving image processing, stereo vision to production a deployable solution at Client. WE ARE SEEKING A TALTENTED SDE CANDIDATE WITH 10 YEARS OF EXPERIENCE 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. POSSIBLITY FOR DOMESTIC TRAVEL DURING THE 2ND HALF OF THE ASSIGNMENT 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 : Experience working with embedded compute modules, particularly NVIDIA Jetson platforms and their associated toolchains Background in computer vision algorithms and techniques, with a focus on stereo vision Proficiency in OpenCV library for image processing and computer vision tasks Experience with CUDA programming for GPU acceleration 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 on field support as needed Leadership Principles: 1. Ownership 2. Delivers Results 3. Insists on the highest standards