Summer Intern Data Engineer/Software Engineer at Echodyne · Kirkland

Summary: Echodyne is a company that offers advanced radar solutions for various industries, including autonomous vehicles and smart cities. They are seeking a Summer Intern Data Engineer/Software Engineer to assist in developing a tool for aligning radar and GPS data, providing students with hands-on experience in software development and radar data processing. 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 - A functional alignment library capable of estimating time offsets and minimizing positional error between radar and GPS trajectories - Documentation describing supported alignment algorithms, configuration options, error metrics, and recommended analyst workflows - A final presentation summarizing methodology, validation results, and recommendations for future enhancements - A reusable ingestion and converter framework for target GPS file formats - An interactive Python application supporting trajectory visualization, alignment execution, and manual refinement - Develop libraries to further improve radar/target alignment by rotational error estimation and applying correctional rotations to improve alignments Required Qualifications: - 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) - 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 Preferred Qualifications: - Understanding of optimization techniques, signal processing concepts, or time-series analysis - Experience with geospatial data, linear algebra, coordinate transformations, or radar systems Required Skills: Python programming, Scientific computing libraries, NumPy, SciPy, Pandas, Data visualization libraries, Plotly, Bokeh, Matplotlib, Holoviz tools, Optimization techniques, Signal processing, Time-series analysis, Geospatial data, Linear algebra, Coordinate transformations, Radar systems Benefits: Hands-on experience with real-world data challenges., Mentorship from experienced professionals in data engineering and analytics., A collaborative, inclusive, and fun work environment., Opportunities to work on meaningful projects that have a direct impact., Orca Card provided (if commuting), Free snacks, Waffle breakfast every Wednesday morning