A bit about us:

Our client is building a modern mapping infrastructure. They are using machine vision-powered mapping tools to built smarter maps.

Why join us?

Their work is fast-paced, collaborative, and cross-disciplinary as they focus on solving truly challenging problems. The team and tech are growing rapidly, they encourage skill development and learning new things, and they love to promote leaders from within.


Job Details

The Aerial Maps team is responsible for the technical acquisition of aerial imagery and processing
it into map data to fuel some of the most exciting tech and logistics companies. Infrastructure
aside, we are responsible for the end to end remote sensing stack. This includes autonomous
mission planning, orthomosaic map generation (2.5D or 3D reconstruction), and computer vision &
machine learning.

We are looking for a strong engineer to own the architecture and technical vision for this team.
The ideal candidate has a rich understanding of remote sensing and 3D reconstruction, and can
work agiley to make smart decisions on build vs. buy and investment into R&D. This candidate
should also have experience developing these pipelines while being integrated into a production
environment, as well as understand how this data is consumed downstream so it can be optimized
accordingly.

Responsibilities:
● Architecting, building, and researching ortho map pipelines.
● Working closely with the platform team to responsibly integrate ongoing research into a
live production environment.
● Operate in an agile data-driven environment where you are constantly measuring and
experimenting to improve pipelines and introduce new features.
● Help build out a larger aerial maps team, define a team vision and help guide the hiring
strategy and development road map.

Requirements:
● Demonstrated experience with 2.5D or 3D reconstruction; structure from motion (SfM)
● Experience building processing software for geospatial data
● Experience acting in a technical leadership or architecture design capacity
● Strong math and analytical skills

Bonus Points:
● Experience with core AWS technologies
● Familiarity with aerospace physics
● Familiarity with optics
● Experience working with Docker, ECS, and Infrastructure as code (e.g., terraform)
● Enjoys leading and mentoring engineers to think about system life cycles, edge cases, and
failure modes.