Research Engineer III - Software Developer

Software Developer•Ann Arbor, MI

6d•Onsite

About The Position

Michigan Technological University (MTU) is seeking a motivated professional to support multiple projects for government and commercial customers at the Michigan Tech Research Institute (MTRI) in Ann Arbor, MI. The Software Developer will collaborate with senior engineers and scientists to research, develop, and evaluate algorithms for signal and/or image processing applications. This role requires a strong computer science background with expertise in software prototyping, design, and deployment. The position is on-site.

Requirements

Master’s degree or higher in computer science, computer engineering, mathematics, electrical engineering, or a similar related field, and 5 years of professional software development experience OR Bachelor’s degree in computer science, computer engineering, mathematics, geospatial data science, electrical engineering, or a similar related field, and 8 years professional software development experience
Experience in the design, implementation, and evaluation of algorithms.
Professional experience in software development.
Proficiency in at least one of the following: Python, C++, MATLAB.
Proficient in at least three of the following: applied mathematics, physics, electrical engineering, software design, signal processing, image processing, machine learning, reinforcement learning, numerical analysis, statistics, robotics, or distributed computing.
Proficient in Linux or other Unix-based operating system.
Experience leading software development teams.
Ability and willingness to obtain a Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States.
Excellent interpersonal, oral/written, and presentation communication skills.
Demonstrated ability to participate in team projects.
Demonstrated commitment to contribute to a safe work environment.
Must be eligible to work in the United States without employer sponsorship.

Nice To Haves

Experience in or coursework covering geospatial data or image processing.
Experience with sensors or signal processing.
Experience with one or more of the following: database design and maintenance, CI/CD pipelines, ROS (Robotic Operating System), geospatial data processing (GDAL or similar).
Experience working with multidisciplinary teams to perform research, solve technical problems, and/or develop software tools.
Experience with the deployment of cloud-based computing architectures.
Holds active Department of Defense security clearance.
Ability to clearly communicate complex ideas at meetings and symposia.
Ability to contribute to competitive grant proposals.

Responsibilities

Participate as an integral team member on multi-disciplinary research applying technological skills to solving governmental and societal needs.
Provide technical, analytical, and numerical support for research and development projects in mathematics, statistics, programming, electrical engineering, remote sensing, and signal processing.
Lead software development projects and coordinate teams of junior software developers.
Develop software to prototype and evaluate signal processing, remote sensing, and/or machine learning algorithms.
Assist with defining software objectives by analyzing user requirements, system features, and functionality.
Recommend software solutions by comparing the pros and cons of custom versus off-the-shelf alternatives.
Coordinate requirements and schedules, contribute to team meetings, troubleshoot development and production problems.
Develop software documentation and assistance tools.
Continuously improve performance by staying aware of new technologies and software products, participating in educational opportunities, reading professional publications, and participating in professional organizations.
Accept ownership of, and responsibility for responding to, new and varied requests.
Assist research staff with the deployment of cloud computing architectures for data processing.
Apply safety-related knowledge, skills, and practices to everyday work.