Computer Vision Engineer

About the role

ABOUT OBSERVABLE SPACE

At Observable Space, we're redefining how humanity observes and connects with the universe. We're a vertically integrated, high-growth, space technology company building industry-leading precision optics platforms for Earth and in space. Our systems are trusted by thousands of customers, including NASA, JPL, SpaceX, Boeing, RTX, the US Space Force and the U.S. Department of War, leading research institutions and international partners.

We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer-friendly APIs into world class products at scale with in-house manufacturing. From advanced ground stations, on-orbit sensor suites, free space optical lasercom, to distributed compute platforms, we deliver the foundational systems enabling continuous, real-time navigation, observation, and communication in space.

Observable Space is backed by top-tier institutional investors including Lux Capital, Upfront Ventures, RTX Ventures, Detroit Venture Partners and Embedded Ventures. To learn more, visit observable.space http://observable.space.

ABOUT THE ROLE

We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO.

RESPONSIBILITIES

- Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications.

- Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research.

- Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)

- Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse.

- Design and generate simulated data for rapid testing of proof of concept algorithms.

- Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases.

- Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes.

- Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights.

BASIC QUALIFICATIONS

- 10+ years of experience in a relevant commercial or academic research field.

- Strong foundation in mathematics or computational mathematics.

- Strong and demonstrated programming ability in C++ or C in a professional environment

- Demonstrated experience in first principles engineering and science.

- Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects.