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Orbital Insight

Analyzes aerial imagery to find actionable information.

Software Engineering Lead
Mountain View, CA, US
Job Description / Skills Required

You drive small teams (2-5 people) to create new products. You are responsible for the technical architecture and implementation of new analytics products that ingest satellite images and other geospatial data at terabyte scale, apply ML/CV algorithms on them to generate domain features and use these features to create predictive models. The results of these predictive models are delivered to customers in the shape of datasets and insightful, actionable reports and visualizations.

Job Purpose

We’re looking for a Software Engineering Lead that can drive small teams (2-5 people) to create new products. In this role, you will be responsible for the technical architecture and implementation of new software analytics products that ingest satellite images and other geospatial data at terabyte scale, apply machine learning/machine vision algorithms on them to generate domain features, and use these features to create predictive models. The results of these predictive models are delivered to customers in the shape of feature datasets and insightful, actionable reports and visualizations.

Job Duties

Own all technical aspects of a product, from mapping of value proposition to technical requirements, to architecture design to integration with devops
Ability to leverage internal expertise on data science/machine learning
Perform software development in any of the product areas as needed
Lead small product development team using agile development principles, including release planning, sprint planning, product and sprint backlog grooming, and standups

Skills & Qualifications

Bachelor’s or Master’s degree, or equivalent experience in a quantitative field (physics, mathematics, bioinformatics, computer science, operations research, etc.)
3+ years experience as technical lead/product architect of commercial software products
Working knowledge of one or more of data science, machine learning, or machine vision
Familiarity with continuous integration and automated testing
Excellent communication and mentoring skills
Strong background in agile, and ability to mentor others in its use a major plus