Localization and Planning Lead Engineer
R&D
Tallinn, Europe
Full-time
We are looking for a visionary Lead Localization & Planning Engineer to spearhead our navigation team. ARK a robotics company operating in the military sector, we solve high-stakes problems where failure is not an option.
In this role, you will lead a team of high-performing engineers to design, develop, and deploy novel algorithms for UAVs and UGVs. Your primary mission is to solve the critical challenge of autonomous operation in GNSS-denied environments. You will bridge the gap between deep theoretical mathematics and real-world tactical deployment on the front lines.
Сore responsibilities
Key Responsibilities
Technical Strategy & Roadmap
Help refine the technical road map for achieving robust GNSS-denied localization and navigation in unstructured, dynamic, and hostile environments.
Lead the research and development of Collaborative SLAM (C-SLAM) architectures, enabling multi-agent swarms (aerial and ground) to share map and pose data in real-time.
Architect systems capable of functioning in "open field" scenarios where geometric features may be sparse and environmental changes occur rapidly.
Team Leadership & Management
Manage, mentor, and grow a team of multi-disciplinary engineers (algorithm developers, software engineers, and roboticists).
Foster a culture of technical excellence, encouraging "first-principles" thinking over relying on off-the-shelf libraries.
Conduct code reviews, design sprints, and technical feasibility studies.
Algorithm Development & Theory
Design and implement advanced State Estimation algorithms using deep theoretical knowledge of probability and linear algebra.
Develop novel path planning and trajectory optimization modules that account for vehicle dynamics and kinematic constraints in complex 3D environments.
Oversee the fusion of heterogeneous sensor data (LiDAR, Visual-Inertial, Radar, Thermal) to maintain sub-meter accuracy without satellite positioning.
Required Qualifications
Education
M.Sc. or Ph.D. in Robotics, Mathematics, Physics, Computer Science, or Control Theory.
Strong academic background in stochastic processes, linear algebra, and geometry.
Professional Experience
5+ years of hands-on experience in the robotics industry (experience purely in academia is insufficient for this role).
Proven experience leading technical teams or managing complex R&D projects.
Demonstrated history of deploying robotics solutions in outdoor, unstructured environments (not limited to warehouses or controlled lab settings).
Core Technical Skills
Theoretical Depth: Deep understanding of the mathematical foundations of robotics, including Linear Algebra, Bayesian Inference, and optimization theories.
Localization: Expert-level knowledge of SLAM paradigms (Graph-based, EKF-SLAM, Visual-Inertial Odometry) and loop closure detection.
State Estimation: Extensive experience with Kalman Filters (EKF, UKF), Particle Filters, and Factor Graphs (e.g. GTSAM).
Planning: Proficiency in sampling-based planners and trajectory optimization techniques for dynamic environments.
Preferred Qualifications
Experience with Multi-Agent Systems and distributed estimation.
Proficiency in ROS, C++ and Python within a Linux environment.
Experience with sensor hardware relevant to defense (e.g., Tactical grade IMUs, long-range LiDAR, Thermal cameras).
The Challenge: Why Join Us?
You will not be integrating standard ROS packages; you will be writing the algorithms that replace them. We are tackling the hardest problem in military robotics: Navigation without GPS in rapidly changing, unstructured terrain. If you are a leader who loves the math behind the motion and wants to see your equations deployed in the field to protect and serve, this is the role for you.
Localization and Planning Lead Engineer
R&D
Tallinn, Europe
Full-time
We are looking for a visionary Lead Localization & Planning Engineer to spearhead our navigation team. ARK a robotics company operating in the military sector, we solve high-stakes problems where failure is not an option.
In this role, you will lead a team of high-performing engineers to design, develop, and deploy novel algorithms for UAVs and UGVs. Your primary mission is to solve the critical challenge of autonomous operation in GNSS-denied environments. You will bridge the gap between deep theoretical mathematics and real-world tactical deployment on the front lines.
Сore responsibilities
Key Responsibilities
Technical Strategy & Roadmap
Help refine the technical road map for achieving robust GNSS-denied localization and navigation in unstructured, dynamic, and hostile environments.
Lead the research and development of Collaborative SLAM (C-SLAM) architectures, enabling multi-agent swarms (aerial and ground) to share map and pose data in real-time.
Architect systems capable of functioning in "open field" scenarios where geometric features may be sparse and environmental changes occur rapidly.
Team Leadership & Management
Manage, mentor, and grow a team of multi-disciplinary engineers (algorithm developers, software engineers, and roboticists).
Foster a culture of technical excellence, encouraging "first-principles" thinking over relying on off-the-shelf libraries.
Conduct code reviews, design sprints, and technical feasibility studies.
Algorithm Development & Theory
Design and implement advanced State Estimation algorithms using deep theoretical knowledge of probability and linear algebra.
Develop novel path planning and trajectory optimization modules that account for vehicle dynamics and kinematic constraints in complex 3D environments.
Oversee the fusion of heterogeneous sensor data (LiDAR, Visual-Inertial, Radar, Thermal) to maintain sub-meter accuracy without satellite positioning.
Required Qualifications
Education
M.Sc. or Ph.D. in Robotics, Mathematics, Physics, Computer Science, or Control Theory.
Strong academic background in stochastic processes, linear algebra, and geometry.
Professional Experience
5+ years of hands-on experience in the robotics industry (experience purely in academia is insufficient for this role).
Proven experience leading technical teams or managing complex R&D projects.
Demonstrated history of deploying robotics solutions in outdoor, unstructured environments (not limited to warehouses or controlled lab settings).
Core Technical Skills
Theoretical Depth: Deep understanding of the mathematical foundations of robotics, including Linear Algebra, Bayesian Inference, and optimization theories.
Localization: Expert-level knowledge of SLAM paradigms (Graph-based, EKF-SLAM, Visual-Inertial Odometry) and loop closure detection.
State Estimation: Extensive experience with Kalman Filters (EKF, UKF), Particle Filters, and Factor Graphs (e.g. GTSAM).
Planning: Proficiency in sampling-based planners and trajectory optimization techniques for dynamic environments.
Preferred Qualifications
Experience with Multi-Agent Systems and distributed estimation.
Proficiency in ROS, C++ and Python within a Linux environment.
Experience with sensor hardware relevant to defense (e.g., Tactical grade IMUs, long-range LiDAR, Thermal cameras).
The Challenge: Why Join Us?
You will not be integrating standard ROS packages; you will be writing the algorithms that replace them. We are tackling the hardest problem in military robotics: Navigation without GPS in rapidly changing, unstructured terrain. If you are a leader who loves the math behind the motion and wants to see your equations deployed in the field to protect and serve, this is the role for you.
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