Principal Hardware Engineer I

CesiumAstro provides equal employment opportunities to applicants and employees without regard to race, ethnicity, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

About the role

The role involves developing cutting-edge software solutions for geospatial data analysis and visualization. Key responsibilities include designing algorithms, integrating third-party libraries, and collaborating with cross-functional teams.

Responsibilities

• Develop and optimize algorithms for geospatial data processing
• Integrate third-party libraries and frameworks for enhanced functionality
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Contribute to the design and implementation of new features and enhancements
• Document code and maintain project documentation

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience with Python, C++, or similar programming languages
• Strong understanding of geospatial data structures and algorithms
• Knowledge of GIS (Geographic Information Systems) principles and tools
• Experience with data visualization libraries such as Matplotlib, Plotly, or Folium
• Excellent problem-solving skills and ability to work independently
• Ability to work in a fast-paced, dynamic environment

Qualifications

• Master's degree in Computer Science, Engineering, or a related field
• Experience with cloud computing platforms like AWS, Azure, or Google Cloud
• Experience with version control systems such as Git
• Experience with agile development methodologies
• Experience with data science and machine learning techniques

Skills

• Proficiency in Python, C++, and JavaScript
• Experience with geospatial data formats such as GeoJSON, KML, and Shapefiles
• Experience with web technologies including HTML, CSS, and JavaScript
• Experience with data manipulation libraries such as NumPy, Pandas, and Dask
• Experience with data visualization libraries such as Matplotlib, Plotly, and Bokeh
• Experience with geospatial analysis libraries such as GeoPandas, Shapely, and Fiona
• Experience with geospatial databases such as PostGIS and Elasticsearch

Benefits

• Competitive salary commensurate with experience
• Flexible working hours and remote work options
• Professional development opportunities and training programs
• Health insurance and retirement benefits
• Employee recognition and reward programs

Pay

Salary range: $80,000 - $120,000 annually, depending on experience and qualifications.

Schedule

Full-time position with a flexible schedule to accommodate project needs.