Tracking and Sensor Fusion Engineer

Jobspage; Çankaya; On-site; TRY 400,000 - 660,000; Full time

Benefits offered by this job

Health insurance

Fuel support

Job summary

Jobspage is seeking a Tracking and Sensor Fusion Engineer to design and implement advanced multi-target tracking and state estimation algorithms for complex sensing systems. You will collaborate with DSP, FPGA, RF, and software engineers to build integrated tracking systems from sensor measurements through track management and fusion.

The role combines strong mathematical foundations with practical software engineering and production-quality implementation.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
• Master’s degree with specialization in Multi-Target Tracking or Statistical Signal Processing.

Responsibilities

• Design and implement multi-target tracking and sensor fusion algorithms for real-world sensing systems.
• Develop and maintain state estimation algorithms including KF, EKF, UKF, ESKF, and Particle Filters.
• Implement and optimize architectures like MHT, JPDA, and RFS-based filters.

Skills

Kalman filtering

Multi-target tracking

Sensor fusion

Python

Linux

Education

Bachelor/Master in EE/CS

Tools

C++

MATLAB

Git

CI/CD

Job description

We are seeking a Tracking and Sensor Fusion Engineer to design and implement advanced multi-target tracking and state estimation algorithms for complex sensing systems. This role focuses on building robust probabilistic tracking pipelines that fuse measurements from heterogeneous sensors (e.g., radar, RF, EO/IR, acoustic, or other sensing modalities) to produce reliable track estimates in challenging environments.

You will work within a multi-disciplinary engineering team, collaborating closely with DSP, FPGA, RF, and software engineers to develop integrated tracking systems from sensor measurements through track management and fusion. The role combines strong mathematical foundations with practical software engineering and production-quality implementation.

Responsibilities

Tracking & Sensor Fusion Algorithm Development

Design and implement multi-target tracking and sensor fusion algorithms for real-world sensing systems.

Develop and maintain state estimation algorithms including: Kalman Filters (KF), Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), Error-State Kalman Filters (ESKF), Particle Filters.

Implement and optimize multi-target tracking architectures, including: Multi-Hypothesis Tracking (MHT), Joint Probabilistic Data Association (JPDA), Random Finite Set (RFS) based methods such as PHD and PMBM filters.

Develop probabilistic models for sensor measurements, clutter processes, and target motion models.

Design and tune tracking pipelines including track initiation, maintenance, gating, and pruning.

Performance Modeling & Analysis

Develop and maintain tracking performance models, error budgets, and sensitivity analyses.

Evaluate algorithm robustness under uncertainty, sensor noise, clutter, and ambiguous measurements.

Conduct simulation campaigns and validation studies for tracking accuracy and system performance.

Sensor Processing & Data Fusion

Process and fuse measurements from sensors such as: Radar, RF / ELINT sensors, Electro-optical (EO/IR) sensors, LIDAR, AIS / ADS-B or similar external data sources.

Design tracking architectures appropriate for different sensing modalities and mission domains.

Software Development & Implementation

Implement tracking algorithms as production-quality software using modern engineering practices.

Develop prototypes in Python or MATLAB, but implement operational systems using general-purpose languages such as C++ or Go when appropriate.

Maintain high standards for software quality, performance, and maintainability.

Use modern AI-assisted development tools to improve development velocity and code quality.

Testing & Validation

Build and maintain comprehensive unit, integration, and system-level tests validating algorithm correctness and robustness.

Develop simulation environments and test harnesses for evaluating tracking systems.

Ensure reproducibility and reliability of algorithm implementations across development stages.

Collaboration & Integration

Work closely with DSP, FPGA, RF, and software engineers to integrate tracking algorithms into larger sensing systems.

Collaborate with system engineers to define interfaces and requirements for tracking subsystems.

Produce clear documentation including technical documentation, interface control documents (ICDs), and algorithm descriptions.

Minimum Qualifications

Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.

Master’s degree with specialization in Multi-Target Tracking or Statistical Signal Processing.

1+ years of professional industry experience outside of academia developing estimation, tracking, or sensor fusion algorithms.

Prior experience in radar, electronic warfare (EW), or sensing systems.

Excellent theoretical foundations in: Kalman filtering and nonlinear state estimation, Hidden Markov Models (HMMs), Multi-Target Tracking, Particle filtering and Bayesian inference, Probabilistic modeling and stochastic processes.

Experience implementing tracking or estimation algorithms in software.

Proficiency in Python for algorithm development and experimentation.

Experience working in Linux-based development environments.

Familiarity with Git and CI/CD workflows.

Ability to collaborate effectively within multi-disciplinary engineering teams.

Preferred Qualifications

Hands-on experience implementing MHT, JPDA, or RFS-based filters (PHD, PMBM).

Experience designing and deploying tracking systems for defense or sensing applications across domains such as air, maritime, ground, or space.

Experience working with sensor measurements from radar, EO/IR, RF sensors, or LIDAR.

Familiarity with open-source multi-target tracking toolboxes.

Strong C++ software development skills.

Experience with Docker-based development environments.

Experience tuning tracking pipelines, building sensor error models, and performing system-level performance analysis.

Strong documentation skills including development of algorithm documentation and ICDs.

Benefits:

Competitive salary and a comprehensive benefits package, including health insurance and fuel support.

Continued support for candidates currently enrolled in a master's or doctoral program.

Opportunities for continuous professional growth and skill development.

Engage in a collaborative and innovative work environment.

Enjoy a positive and enriching work environment, situated in a desirable location.