About Oriient

Oriient is a leader in location intelligence, delivering advanced indoor positioning and spatial analytics solutions for enterprise customers. We work with some of the largest retailers and grocery chains to transform in-store experiences, operations, and customer engagement through precise location data.

Role Overview

GPS fails indoors. At Oriient, we utilize the Earth’s magnetic field—affected by the steel and concrete of a building—to position people with meter-level accuracy. We combine this with IMU data and learned motion models to create a software-only solution. No hardware, just pure signal processing.

What you’ll work on

• Designing and improving localization algorithms: You’ll own the core engine, working with Particle Filters, Kalman variants, and estimation algorithms.
• Bridging Research and Production: Translating ideas from academic literature into working prototypes, then into production code running at scale.
• Sensor Fusion: Performing deep fusion across IMU, magnetometer, and barometer signals while accounting for device heterogeneity.
• Investigating failure modes: Hunting down the "why" behind edge cases and anomalies in the field through rigorous data analysis.

What we’re looking for

• B.Sc. in Electrical Engineering, Applied Math, or a related field.
• 3+ years working on estimation, signal processing, or sensor fusion problems.
• Strong mathematical footing: you can read a paper, identify what's useful, and build a working implementation.
• Proficient Python; familiarity with MATLAB is useful for rapid prototyping.