Observable Space

Computer Vision Engineer

Observable Space
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2 months ago

Base Salary

$190k - $230k/yr

Responsibilities

  • Research SDA/SSA, photometry, and novel image-processing techniques through ongoing review of research papers and publications.
  • Collaborate with software development teams to conceptualize, develop, and implement research-based proofs of concept.
  • Evaluate, train, and customize combination models using state-of-the-art vision backbones such as U-Net, Vision Transformer, and ResNet.
  • Own image-processing pipelines end to end, from camera sensor readout to publishing extractions to the 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 and validate algorithms against synthetic test cases.
  • Lead complex multidisciplinary research projects using rigorous scientific processes.
  • Communicate complex research findings clearly to technical and non-technical stakeholders.

Requirements

  • 10+ years of experience in a relevant commercial or academic research field.
  • Strong foundation in mathematics or computational mathematics.
  • Strong professional programming ability in C++ or C.
  • Demonstrated experience in first-principles engineering and science.
  • Ability to manage and execute complex, multidisciplinary research projects with attention to detail.
  • Experience training machine-learning models with PyTorch or TensorFlow.
  • Experience with classical computer-vision techniques, especially OpenCV.
  • Preferred: master's or Ph.D. in engineering, mathematics, or a related field.
  • Preferred: knowledge or experience in astrodynamics.

Tech Stack

CC++OpenCVPyTorchTensorFlow

Categories

Observable Space

About Observable Space

51-200 employees

Observable Space builds vertically integrated optical systems and software that let satellites and spacecraft see, navigate, and communicate. Its products span ground-based telescopes and stations, in-space sensor payloads, and free-space laser communications, paired with embedded compute, cloud orchestration, and developer APIs. The privately held company is headquartered in Los Angeles and manufactures in-house, selling hardware and supporting software to satellite operators, space agencies, defense users, and research institutions.

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