Summer Intern Data Engineer/Software Engineer

Echodyne Corp•Kirkland, WA

About The Position

Echodyne offers the world’s first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points. Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM). Echodyne is seeking a Summer Intern Data Engineer/Software Engineer to join our fast-growing team. ROLE OVERVIEW We are looking for a Summer Intern – Data/Software Engineering to support our data engineering and analytics team in the development of an automated Radar-to-GPS Track Alignment and Target Data Ingestion Tool. This role focuses on building a Python-based application that aligns GPS-equipped target telemetry with radar track data, automates time synchronization, and enables interactive visualization and analyst-in-the-loop refinement. This is an exciting opportunity for students interested in software development, radar data processing, scientific computing, or applied algorithms to gain hands-on experience while contributing to a high-impact internal R&D tool. The Mentor for this internship is the Sr Data Engineer.

Requirements

Currently pursuing a degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related field, with preference for students in their junior year or above.
Strong Python programming skills.
Familiarity with scientific computing libraries (NumPy, SciPy, Pandas).
Experience with data visualization libraries (Plotly, Bokeh, Matplotlib, or Holoviz tools).
Understanding of optimization techniques, signal processing concepts, or time-series analysis is preferred.
Experience with geospatial data, linear algebra, coordinate transformations, or radar systems is a plus.
Strong problem-solving skills and attention to detail.
Ability to work independently and collaborate in a team environment.
Eagerness to learn and adapt in a dynamic setting.

Nice To Haves

Experience with geospatial data, linear algebra, coordinate transformations, or radar systems is a plus.

Responsibilities

Develop a Python-based alignment engine to automatically synchronize and minimize positional error between radar track latitude/longitude data and GPS target telemetry.
Implement algorithms for time offset estimation and optimization (e.g., cross-correlation, non-linear least squares, dynamic time warping, or state-space estimation approaches).
Support classification-informed track selection to prioritize candidate radar tracks matching operator-specified target types.
Document algorithms, workflows, and best practices to ensure repeatability and usability by radar analysts.
Develop AI-assisted workflows to detect and parse new GPS file formats and convert them into a canonical structure for reuse.
Prototype an interactive user interface (Panel/Param with Bokeh or Plotly) for visualizing trajectory alignment, adjusting time offsets, and reviewing residual errors.