Logos Space
Antenna Engineer
San Diego · Contract
Sponsorship not specifiedDetected 335 days ago
PythonC++C#Electrical EngineeringResearchCommunication
About the role
- Logos Space is a Low Earth Orbit (LEO) satellite system purpose-built to serve the connectivity needs of the commercial enterprise users and government users.
- Speed and reliability are the foundation of the system.
- Logos is led by a team of highly experienced engineers with proven track records in the networking and satellite industries.
Requirements
- Bachelor's degree in electrical engineering with some RF and antenna coursework or research, or equivalent experience
- 5+ years of experience with antennas or communication systems
- 5+ years experience with radio test equipment such as spectrum analyzers, vector signal analyzers, vector signal generators, and network analyzers
- 5+ years of programming experience in Python, C#, C++, or MATLA
- Experience with one of the mainstream antenna simulation tools (CST, HFSS,…)
Nice to have
- MSc or PhD in EE with RF- or antenna-related thesis research
- Strong foundations in antennas: Impedance matching, theoretical and practical limitations of antennas
- Strong foundation in mathematics and physics
- Experience in development of computational tools
- Experience with active RF circuits and front-end design
- Experience in phased array development
- Hands-on experience with phased array calibration, characterization, and over-the-air validation.
- Experience with both planar and volumetric phased arrays, analog/digital beamforming, and unique lattice architectures.
Skills
- Define antenna concepts and system-level requirements during product definition phases.
- Ensure seamless integration between RF front-end components and antenna systems to achieve optimal performance.
Compensation
- This policy applies with regard to all aspects of one's employment, including hiring, transfer, promotion, compensation, eligibility for benefits, and termination.
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This listing is sourced directly from Logos Space's careers page and normalized into a canonical job model.