At a glance
- Pay
- $190k – $230k/yr
- Type
- Full Time
- Location
- Los Angeles, California
- Posted
- Aug 26, 2026
- Company size
- Startup (1-50)
- Industry
- Defense & Aerospace
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. - Experience in machine learning model training using PyTorch or TensorFlow. - Experience in classical vision techniques with an emphasis on OpenCV.
Preferred Qualifications - Masters or Ph.D. in Engineering, Mathematics, or a related field of study. - Experience in machine learning model training using PyTorch or TensorFlow. - Knowledge or experience in astrodynamics.
About Observable Space
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