Head of Perception
Vannevar LabsFull Time
Junior (1 to 2 years)
Candidates should possess experience with digital signal processing techniques related to RF instruments and developing algorithms using data from RF instruments, demonstrating exceptional skills in Python-based development and analysis, and exhibiting the ability to work effectively with a distributed, interdisciplinary team. Experience with precision timing, geolocation of RF transmitters, GNU Radio, retrieval algorithms from satellite Earth observations, and understanding of scientific instruments is preferred. Familiarity with cloud-native systems (AWS, Flyte) is also desirable.
The RF Signal Processing Specialist will support the algorithmic and software development of data processing pipelines, build operational data products from remote sensing observations, work with scientists and the data team to continually refine data products, and demonstrate a willingness to learn new topics as needed, including measurement techniques, retrieval concepts, and data platforms/tools.
Designs and operates satellite constellations
Muon Space designs, deploys, and operates satellite constellations to provide Earth Intelligence that helps protect people, the climate, and ecosystems. Their services include creating mission strategies, building satellite systems, and managing these systems using their own AI automation technology. This approach allows them to deliver high performance and reliability while keeping costs low and speeding up satellite launches. Unlike many competitors, Muon Space focuses on understanding and solving their clients' specific needs rather than just selling satellite products. They operate on a pay-as-you-go model, which includes the development and operation of satellite constellations and the data generated from them. The team at Muon Space has significant experience from leading organizations like NASA, Google, and SpaceX, which enhances their capability to deliver valuable insights to clients in areas such as climate change, security, and resource management.