Senior R&D Engineer

Pointr

. Improve the accuracy, responsiveness, and robustness of indoor-outdoor positioning algorithms across venues, devices, and real-world conditions .

Posted 9/21/2026full-timeRemote • TurkeySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing indoor-outdoor positioning algorithms, with a strong foundation in probabilistic state estimation, sensor fusion, and applied mathematics. Proficient in mobile development for iOS and Android, utilizing AI coding agents and performance-sensitive production code.

Highest-signal resume keywords

C++ DevelopmentProbabilistic State EstimationSensor FusionIOS and Android DevelopmentAI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance-Sensitive Production CodeRecursive Bayesian FilteringParticle-Based MethodsApplied MathematicsRoot-Cause IsolationAutomated TestingCross-Platform DevelopmentMobile Positioning ConstraintsMachine LearningComputational Geometry

Soft Skills

Clear Technical CommunicationCollaborative Approach

Tools & Technologies

GitBuild SystemsCompilersSanitizersProfilersClaude CodeOpenAI CodexSimulation ToolsMeasurement SetupsOffline Replay Tools

Certifications & Qualifications

MS or PhD in Relevant Field

Industry Keywords

Indoor PositioningGNSSSLAMRF Signal ProcessingBLEUWBWi-Fi RangingGeospatial DataWayfindingGraph Algorithms

Tech Stack

Tools & technologies

AndroidiOSKotlinSwiftC++

About the role

Key responsibilities & impact

Improve the accuracy, responsiveness, and robustness of indoor-outdoor positioning algorithms across venues, devices, and real-world conditions
Research, develop, and evaluate classical estimation and machine learning positioning algorithms using real venue data
Investigate emerging positioning technologies using development kits, reference hardware, and measurement setups
Build and use offline replay, accuracy regression suites, and simulation tools
Validate algorithms on real iOS and Android devices
Develop production code in the shared C++ engine and native iOS and Android sensor and radio scanning layers
Optimize performance, memory use, thread safety, and test coverage
Convert field issues and 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 technical reasoning and contribute invention disclosures where warranted
Own technical areas, deliver measurable positioning improvements, diagnose customer-venue field issues, and help establish measurement standards

Requirements

What you’ll need

6+ years of professional software engineering experience, including performance-sensitive production code
Strong grounding in probabilistic state estimation and sensor fusion, including recursive Bayesian filtering and particle-based methods
Solid applied mathematics, including linear algebra, probability, numerical methods, and geometry
Experience with noisy, real-world sensor time series, recorded traces, root-cause isolation, measurable validation, and automated tests
Daily use of AI coding agents and basic understanding of context windows, tool use, prompting, instruction files, and common failure modes
Working knowledge of iOS or Android development sufficient to build and debug on real devices and modify native platform code
Comfort with build systems, Git, compilers, sanitizers, profilers, and cross-platform constraints
Clear technical communication and collaborative approach to technical disagreements and code review
Professional fluency in written and spoken English
Preferred: experience in indoor positioning, GNSS, robotics, SLAM, pedestrian dead reckoning, or RF signal processing
Preferred: hands-on experience with Claude Code, OpenAI Codex, or other AI coding agents
Preferred: modern C++, Swift, Kotlin, or shared native cores in iOS and Android apps
Preferred: mobile positioning constraints, including background execution, sensor/radio scanning APIs, power budgets, and device differences
Preferred: BLE, UWB, or Wi-Fi ranging and positioning
Preferred: computational geometry, geospatial data, map processing, wayfinding, or graph algorithms
Preferred: machine learning applied to motion or signal models
Preferred: simulation or visualization tools for algorithm development
Preferred: MS or PhD in a relevant field, research publications, or equivalent demonstrated depth

Benefits

Comp & perks

Competitive base salary and stock options, based on experience and market
Private supplementary health insurance, in addition to statutory SGK coverage
Paid annual leave under Turkish Labor Law (14 days/year for years 1–5 of service, rising with tenure)
5 additional paid days in the first year as a Pointr benefit
Official public holidays set by the Turkish government (approximately 15 days in 2026)
Paid sick leave with a doctor's report, per Turkish Labor Law
24 weeks of paid maternity leave (state-paid)
Up to 6 weeks of paid paternity leave, topped up by Pointr Bilişim above the statutory minimum
Mandatory SGK social security contributions
Stock options
Supportive, inclusive international culture and smart team