Join a team that develops Machine Learning-based solutions for existing and future next-generation technologies, including embedded systems for electric power, oil gas, aerospace, automotive, and space applications; interact with technical clients and colleagues to understand requirements and constraints of the task objectives; work in various phases of the system lifecycle, including applied research, requirements generation, design, implementation, testing, integration, installation, and documentation.
Requires a MS or PhD degree in Computer Engineering, Computer Science, Electrical Engineering, Mathematics, Physics or other related disciplines with at least a 3.25 GPA. MS requires 3 – 8 years of experience. PhD requires 2 - 5 years of experience. Must have course work or experience in one or more of the following: a) machine learning / deep learning, b) data analytics / big data, c) GPU and CPU programming, d) microprocessor software and/or hardware, e) signal processing, f) instrumentation and sensors, g) embedded systems,; experience in Python and/or C, C++ preferred; experience with deep learning, computer vision, Caffe, R, TensorFlow, Spark, Linux, openCV, real-time operating systems, high performance computing (HPC), a plus; interest and/or experience in working with hardware a plus; must have demonstrated leadership skills and desire to lead teams; excellent verbal and written communication skills required; must be able to work in project team environments and independently; must have excellent problem-solving skills, be self-motivated, and be driven by challenging problems; must have good organizational skills and attention to detail; aptitude for continuous learning and leadership potential. Applicants with energy, enthusiasm, initiative and a desire to excel in their field will receive primary consideration. Occasional travel is required. A valid/clear driver's license is required.