Software Development Co-Op

Description Brief Description of Role:

If you enjoy designing innovative systems and solving real-world problems, you'll have fun working with us! Co-ops and Interns at Etegent get the opportunity to work on projects that make a difference in a wide range of exciting fields. Etegent conducts cutting-edge research in areas such as:

• ML/AI exploitation of radar, lidar, panchromatic, hyperspectral, and vibrometry data
• the development of tools to reveal hidden insights in massive, diverse sets of data
• curating synthetic and measured data in support of algorithm training and testing
• developing performance models for autonomous systems
• high-performance computing – from low SWaP (size, weight, and power) to supercomputers

Etegent has a long history of working with co-op and intern students to help them achieve their professional goals. In fact, many of our full-time engineers began their careers with Etegent as co-ops or interns. We know first-hand the importance of providing co-ops and interns with high-quality learning experiences tailored to the individual’s goals.

At Etegent, co-op and intern students get the opportunity to work closely with our researchers to help develop and implement cutting edge technology. The specific tasks will vary based on the project assigned; details for the most likely initial project are given below.

Etegent’s software development group supports the machine learning group in maintaining and developing several AI/ML frameworks and tools leveraged by multiple research projects. The frameworks are developed fully in Python, heavily leveraging packages such as PyTorch, PyTorch Lightning, and several others. In this role, you may be asked to:

• Develop new functionality to support the needs of Etegent’s machine learning group.
• Design and implement effective unit tests for existing functionality using pytest.
• Support Dev Ops tasks such as continuous integration and continuous delivery (CI/CD).
• Write clear and concise documentation for developers and for users.

(Our expectations will vary based on the education level of the applicant.)

• Exposure to data structures and program design
• Comfortable working with Windows and Linux operating systems

(Our expectations will vary based on the education level of the applicant.)

• Experience using Python.
• Familiarity with fundamental machine learning concepts.
• Experience measuring and improving software efficiency and optimizing for execution speed.
• Experience using Git or other version control systems in a collaborative environment.
• Experience with Bash or other scripting languages