AI/ML Software Engineer

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.