Computer Vision Engineer

Responsibilities

• Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications.
• Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research.
• Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)
• Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse.
• Design and generate simulated data for rapid testing of proof of concept algorithms.
• Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases.
• Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes.
• Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights.
• Basic Qualifications
• 10+ years of experience in a relevant commercial or academic research field.
• Strong foundation in mathematics or computational mathematics.
• Strong and demonstrated programming ability in C++ or C in a professional environment
• Demonstrated experience in first principles engineering and science.
• Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects.
• Experience in machine learning model training using PyTorch or TensorFlow.
• Experience in classical vision techniques with an emphasis on OpenCV.
• Preferred Qualifications
• Masters or Ph.D. in Engineering, Mathematics, or a related field of study.
• Knowledge or experience in astrodynamics.