Echodyne→
Summer Intern Data Engineer/Software Engineer
InternshipOn-site
Location
Kirkland, WA
Salary
$60k–$60k/yr
Experience
No experience required
Posted
1 week ago
Skills
python programmingscientific computing librariesnumpyscipypandasdata visualization librariesplotlybokehmatplotlibholoviz toolsoptimization techniquessignal processingtime-series analysisgeospatial datalinear algebracoordinate transformationsradar systems
Job Description
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
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