Principal Localization Engineer - Location Intelligence

Hubble Network Inc.; California; Hybrid; USD 183,000 - 298,000; Full time

Benefits offered by this job

Health, Dental, Vision

HSA options

Unlimited PTO

Commuter Benefits

Learning & Development Allowance

Wellness stipend

Sabbatical program

Job summary

Hubble Network Inc. is seeking a Principal Localization Engineer to lead development of robust location computation systems leveraging BLE and satellite telemetry.

This is a highly technical and strategic role focused on solving complex state estimation problems at scale. You will 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.

Qualifications

• 7+ years of hands-on experience in applied state estimation, robotics, or signal processing.
• Expertise in Kalman, EKF, and 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 SQL skills with 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 with data engineering teams or building pipelines to support analytical model development.
• Strong communication skills and the ability to convey complex ideas to technical and non-technical audiences.
• All applicants must be U.S. citizens or lawful permanent residents (green card holders) as defined by ITAR.

Responsibilities

• Architect and implement location estimation algorithms using BLE and satellite data including Kalman filters, EKF, and Particle Filters.
• Optimize for computational efficiency, real-world performance, and cost while balancing precision and constraints.
• Build and deploy production-grade statistical models for state tracking and error correction.
• Partner with Data Engineering to define data collection, structuring, and processing pipelines.
• Evaluate and iterate on models based on live system performance and simulation feedback.
• Collaborate with embedded systems and backend teams to ensure end-to-end feasibility and integration.

Skills

State estimation

Sensor fusion

Kalman filtering

EKF

Particle filters

Python

SQL data analysis

Communication

Tools

AWS Redshift

AWS Athena

Trino/PrestoSQL

Job 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.

ABOUT THIS ROLE

Hybrid role based in Seattle, WA or San Francisco, CA

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.

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.

REQUIRED 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).

PREFERRED QUALIFICATIONS

• 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
Unlimited PTO
Commuter Benefits (if working from HQ)
Learning & Development Allowance
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.