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# AI/ML Software Engineer

- **Company:** Envision, Inc
- **Location:** Manchester, NH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Computer Programming, Computer Graphics, Digital Rendering, Python (Programming Language), Machine Learning, OpenCV, Performance Tuning, Tensorflow, Management of Software Versions, Pytorch, Delivery Pipeline, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Unreal Engine, NVIDIA Jetson
- **Published:** October 22, 2026
- **Apply:** https://www.juju.com/job/1_23466EB423BD4A7EBBCF3AB1E7B12EE2-NH0000532334

## About the Role

system readiness for deployment. - Collaborate with algorithm developers, hardware engineers, and system integrators to ensure AI performance meets mission and hardware constraints. - Stay current on emerging AI/ML methods and edge-deployment frameworks to enhance system efficiency and capability. **Required Skills and Qualifications:** - Bachelors degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field. - Proficiency in modern machine learning frameworks (e.g., PyTorch, TensorFlow, ONNX).
Experience with computer vision libraries and tools (e.g., OpenCV, NVIDIA TensorRT, or OpenVINO). - Strong programming skills in Python and/or C++. - Experience deploying models on embedded or edge hardware (e.g., NVIDIA Jetson, Intel NUC, AMD Ryzen Embedded). - Demonstrated ability to assess and refine algorithmic performance using quantitative evaluation techniques. **Desired Qualifications** - Masters degree in a relevant discipline or 5+ years of experience in applied AI/ML development for imaging, optical, or sensor-based systems. - Background in optical physics, radiometry, or computer graphics-based image synthesis. - Experience generating physics-based synthetic imagery using tools such as Blender, Unreal Engine, or custom rendering pipelines. - Understanding of sensor modeling and the integration of physics-based parameters (e.g., MTF, SNR, contrast, spectral response).
Familiarity with MLOps tools for versioning, data curation, and training pipeline automation. **Additional Information:** - - Applicant must be a US Person. - Individuals applying for this position should have the aptitude and motivation to proactively contribute in a startup culture from day one and grow with the company. - Brief travel within the US to customer locations may be required occasionally to support product testing or design reviews.