Hubble Network was founded with the intention of delivering on the promise of what Internet-of-Things (IoT) was supposed to be. We're building a global Bluetooth® network dedicated to machine-to-machine connectivity. We differentiate ourselves as the first modem-less and gateway-less, direct-to-satellite network from off-the-shelf Bluetooth® Low Energy chips. Hubble is ideal for applications in logistics, AgTech, and maritime where economies of scale for volume consumer and enterprise asset tracking is a priority. Our goal is to be the first billion-endpoint-connected network in the world. Hubble is an early-stage, venture-backed startup supported by some of the best investors in the world. In their previous lives, the founding team has been successful in raising $100s of millions in venture funding, developing the Amazon Sidewalk network, launching billions of dollars of space assets, and leading their teams to successful exits, both through acquisition and IPO. We are now looking to bring on talented team members who are the best at what they do to help us make Hubble a reality for the world. About the Role As a Sr. Wireless Systems Engineer on our R&D team, you'll split your time between sharpening the accuracy of our core satellite location system and exploring what comes next. ~75% of your time will focus on improving the accuracy of our satellite-based location solution — refining the algorithms and models that determine where a BLE device is on Earth from a satellite link, tightening error sources, and closing the gap between theoretical and achieved positioning performance. ~25% of...
Responsibilities:
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Satellite Location Accuracy (~75%)
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Improve the accuracy and reliability of location estimation algorithms for BLE-to-satellite links — timing recovery, Doppler/frequency estimation, multilateration, and error correction
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Characterize and model dominant error sources (satellite ephemeris, oscillator drift, propagation effects, multipath, receiver noise) and prioritize which to attack first
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Build and refine link and geolocation models to validate improvements before they hit hardware or flight software
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Design experiments — simulation, emulation, and over-the-air — to measure real-world positioning accuracy against theoretical bounds
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Work with flight software and ground infrastructure teams to translate algorithm improvements into deployed accuracy gains
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Future Initiatives — Downlink Beacon for Time & Position (~25%)
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Research and prototype algorithms for a satellite downlink beacon that terrestrial devices could use to independently estimate time and position
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Model link budgets, signal design trade-offs, and expected accuracy for a downlink-based approach versus today's uplink architecture
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Run early feasibility studies and go/no-go experiments to determine whether and how a downlink beacon could be integrated into the network
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Document findings and present them in design reviews to inform whether this becomes a funded roadmap item
Requirements:
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Bachelor's degree in Electrical Engineering, Computer Engineering, or related field; Master's or PhD highly preferred
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Deep grounding in communication theory and signal processing (channel estimation, equalization, timing/frequency recovery, coding/error correction)
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Experience with geolocation/positioning algorithms (TDOA, FDOA, multilateration, or similar) is a strong plus
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Strong knowledge of wireless communications fundamentals (FSK, OFDM, MIMO, spread spectrum, etc.)
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Familiarity with existing protocols (5G/LTE, 802.11 variants, Bluetooth/BLE) as reference points
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Proficiency in MATLAB and/or Python and/or C/C++ for modeling, simulation, and algorithm prototyping
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Comfort taking research to hands-on validation: lab bring-up, RF test equipment (spectrum analyzer, signal generator, oscilloscope, logic analyzer), FPGA/SoC prototyping
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Ability to work independently across both incremental optimization work and open-ended exploratory research
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Comfort in a fast-paced, early-stage environment, including availability for extended hours around critical milestones