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Pointr

Indoor location intelligence platform for venues

Senior Research and Development Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeİstanbul, TürkiyeRemote

About the Job

Requirements

  • At least 6 years of professional software engineering experience, including performance-sensitive production code; prior C++ experience is preferred but not required.
  • Strong grounding in probabilistic state estimation and sensor fusion, including recursive Bayesian filtering and particle-based methods, and judgment in choosing suitable approaches.
  • Solid applied mathematics knowledge, including linear algebra, probability, numerical methods, and geometry, with the ability to distinguish model limitations from data-quality problems.
  • Experience working with noisy real-world sensor time series, reproducing issues from recorded traces, isolating causes, and validating changes with measurable results and automated tests.
  • Daily use of AI coding agents and a basic understanding of how they work, including context windows, tool use, prompting, instruction files, and common failure modes; ability to direct agents and critically review their output.
  • Working knowledge of iOS or Android development sufficient to build and debug on real devices and modify native platform code.
  • Comfort with native development tools, including build systems, Git, compilers, sanitizers, and profilers, and with cross-platform constraints.
  • Professional fluency in spoken and written English.

Responsibilities

  • Improve the accuracy, responsiveness, and robustness of indoor-outdoor positioning algorithms across venue types, devices, and real-world conditions.
  • Research, develop, and evaluate positioning algorithms, spanning classical estimation and machine learning approaches, and measure their impact using real venue data.
  • Research emerging positioning technologies, including work with development kits, reference hardware, and measurement setups for capabilities not yet available on shipping phones.
  • Build and use offline replay, accuracy regression suites, and simulation tools to measure improvements; validate on real iOS and Android devices, accounting for sensor behavior and runtime constraints.
  • Develop production code in the shared C++ engine and native iOS and Android sensor and radio-scanning layers, with attention to performance, memory use, thread safety, and test coverage.
  • Turn field issues, such as suboptimal hardware deployments or unexpected sensor behavior, into reproducible test cases and engine improvements.
  • Use AI coding agents daily and review and validate their output.
  • Shape technical decisions through experiments and code review, document the reasoning behind the work, and contribute invention disclosures where warranted.

Desired Qualifications

  • Experience in indoor positioning, GNSS, robotics, SLAM, pedestrian dead reckoning, or radio-frequency signal processing.
  • Hands-on experience with Claude Code or OpenAI Codex; other AI coding agents also qualify. Experience building agent tools or integrations is a plus.
  • Experience with modern C++, Swift, or Kotlin, or shipping a shared native core in iOS and Android apps.
  • Familiarity with mobile constraints that affect positioning, including background execution, sensor and radio scanning APIs, power budgets, and device differences.
  • Knowledge of ranging and positioning methods used with radio technologies such as BLE, UWB, or Wi-Fi.
  • Experience with computational geometry, geospatial data, or map processing; wayfinding and graph algorithms are useful secondary skills.
  • Experience applying machine learning to motion or signal models, with evidence that it improves on classical estimation methods.
  • Experience building simulation or visualization tools for algorithm development.
  • An MS or PhD in a relevant field, research publications, or equivalent demonstrated depth in positioning, estimation, or spatial algorithms.

About the Company

Pointr

Indoor location intelligence platform for venues

Pointr helps large venues like airports, retailers, and industrial sites turn physical spaces into data-driven operations. Its Deep Location cloud platform combines indoor location data with machine learning to generate actionable business insights, dashboards, and optimization suggestions. The system tracks and analyzes movement and spatial data inside buildings to help teams improve customer experience, security, operations, and logistics. Pointr stands out by offering a focused, end-to-end platform for bricks-and-mortar operators that handles data collection, analysis, and ongoing learning, rather than just maps or isolated tools. Its goal is to become the preferred platform for digital transformation in physical spaces, helping customers like Harrods, Gatwick and Dubai Airports, and Sainsbury’s compete effectively in the digital age.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2014

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