Principal Localization Engineer – Location Intelligence
Principal engineer leading development of location-estimation systems that fuse BLE and satellite telemetry — building Kalman/EKF/particle-filter state estimation, probabilistic error-correction models, and analytical data pipelines, mostly in Python and SQL. Hybrid role based in Seattle or San Francisco, working with signal processing, firmware, and data teams.
- Compensation
- $183K–$298K / yr
- Location
- San Francisco, California, United States; Seattle, Washington, United States
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Full time
- Experience
- 7+ years
- Category
- Technical writing
- Posted
Skills
Must have
- 7+ years of hands-on industry experience in applied state estimation, robotics, or signal processing
- Deep expertise in state estimation and sensor fusion with practical implementation of Kalman, EKF, or Particle filtering
- Strong understanding of geolocation systems, signal propagation models, and statistical inference under uncertainty
- Proven track record bringing algorithms from prototype to production in resource-constrained systems
- Strong SQL skills (AWS Redshift, AWS Athena, or Trino/PrestoSQL)
- Strong Python skills with emphasis on numerical methods, simulation, and performance optimization
- Experience working with data engineering teams or building pipelines to support analytical modeling
- Strong communication skills; can synthesize complex technical ideas for technical and non-technical audiences
- Must be a U.S. citizen or lawful permanent resident (ITAR, 22 CFR §120.15)
Nice to have
- Background in robotics localization, GN&C, autonomous systems perception, or RF geolocation
Full description
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.
This is a hybrid, full-time position based in Seattle, WA, or San Francisco, CA. ABOUT THIS ROLE
We're seeking a Principal Localization Engineer to lead the development of robust location computation systems leveraging Hubble's dual-stack BLE + satellite telemetry. This is a highly technical and strategic role focused on solving complex state estimation problems at scale. You'll work cross-functionally with signal processing experts, firmware engineers, and data infrastructure teams to push the limits of what's possible in dynamic, global-scale environments. This role has high visibility and direct impact on our core product performance and customer acquisition.
KEY RESPONSIBILITIES
- Architect and implement cutting-edge location estimation algorithms based on BLE and satellite data, including Kalman filters, Extended Kalman Filters (EKF), and Particle Filters.
- Optimize for computational efficiency, real-world performance, and cost — balancing precision with system constraints.
- Build and deploy production-grade statistical and probabilistic models for state tracking and error correction.
- Partner with Data Engineering to define data collection, structuring, and processing pipelines that support robust modeling.
- Evaluate and iterate on models based on live system performance and simulation feedback.
- Collaborate with cross-functional stakeholders, including embedded systems and backend infrastructure teams, to ensure end-to-end feasibility and integration.
BASIC QUALIFICATIONS
- 7+ years of hands-on, industry experience in applied state estimation, robotics, or signal processing roles.