Principal Localization Engineer – Location Intelligence

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.
• Deep expertise in state estimation and sensor fusion, with practical implementation of Kalman, EKF, or Particle filtering techniques.
• Strong understanding of geolocation systems, signal propagation models, and statistical inference under uncertainty.
• Proven track record of bringing algorithms from prototype to production in real-world, resource-constrained systems.
• Strong foundational SQL skills (AWS Redshift, AWS Athena, or Trino/PrestoSQL) to pull and validate analytical datasets.
• Strong Python programming skills, with emphasis on numerical methods, simulation, and performance optimization.
• Experience working closely with data engineering teams or building pipelines to support analytical model development.
• Strong communication skills and the ability to synthesize complex technical ideas for both technical and non-technical audiences.
• All applicants must be U.S. citizens or lawful permanent residents (“green card holders”) as defined by ITAR (22 CFR §120.15).

STRONGLY DESIRED

• Background in robotics localization, GN&C, autonomous systems perception, or RF geolocation is a strong plus.

COMPENSATION & BENEFITS
💰 Salary: $183,000 - $298,000 (commensurate with experience)
🩺 Comprehensive Benefits – Health, Dental, Vision, & HSA options
📈 Equity – Competitive stock option grant commensurate with experience and level
🌍 Unlimited PTO
🚇 Commuter Benefits (if working from a Hubble Network office)
💪 Health & Wellness Stipend
🌎 Sabbatical Program – Recharge and explore new ideas
🛠  Cutting-Edge Space Tech – Work on state-of-the-art satellite system

The posted compensation range reflects multiple levels within Hubble Network's Talent architecture. Final level placement and corresponding compensation will be determined through the interview and assessment process, taking into consideration factors such as the candidate's relevant experience, qualifications, skills, and geographical location.

ITAR REQUIREMENTS

Hubble is required by the U.S. Government to comply with various space technology export regulations including the International Traffic in Arms Regulations (ITAR).  All applicants must be U.S. citizens or lawful permanent residents (“green card holders”) as defined by ITAR (22 CFR §120.15). More information on ITAR can be found here.

Hubble is committed to creating a diverse environment and is proud to be an equal-opportunity employer. Each individual has the right to work in a professional environment that promotes equal employment opportunity and prohibits discriminatory practices, including harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.