Senior Robotics Algorithm Engineer – Autonomous Navigation

Orca AI

. Own the algorithmic path from world state to safe navigation commands, end to end .

Posted 10/4/2026full-timeIsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in robotics algorithms, particularly in motion planning, decision making, and collision avoidance for autonomous maritime platforms. Proficient in C++ and Python for real-time algorithm development, with a strong understanding of maritime navigation practices and regulations.

Highest-signal resume keywords

Robotics AlgorithmsMotion PlanningCollision AvoidanceC++ ProgrammingPython Programming

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Decision Making Under UncertaintyReal-Time Algorithm DevelopmentTrajectory OptimizationMulti-Agent InteractionManeuver SelectionPath FollowingWaypoint GenerationDynamic Obstacle HandlingPerformance EvaluationSimulation and Field Trials

Tools & Technologies

Embedded ComputingData Pipeline DevelopmentAI-Driven Systems

Industry Keywords

Maritime Domain KnowledgeCOLREGsAIS TrackingRadar TrackingDefense Programs

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Own the algorithmic path from world state to safe navigation commands, end to end
Design and implement global and local planning: route generation, waypoint generation, path following, and continuous replanning as conditions change
Build collision avoidance for dynamic maritime environments, including encounter detection and classification, reasoning about other vessels' course, speed, intent and uncertainty, maneuver selection and timing, and return-to-route logic
Design mission-level decision logic: continue, deviate, hold, abort, transition to safe state and define the behavior envelope
Build the data pipeline and own performance in simulation and at sea
Own the algorithmic core of an autonomous vessel from world model input to maneuver commitment
Work on autonomous and AI-driven maritime systems for defense and government operators

Requirements

What you’ll need

5+ years in robotics algorithms: motion planning, decision making or collision avoidance for autonomous platforms
Automotive planning and behavior background
Strong practical command of planning methods and their real-time trade-offs
Demonstrated work on decision making under uncertainty with dynamic obstacles
Production-grade C++ and Python; able to write algorithms that run reliably in real time on embedded compute
Experience taking an algorithm from concept through field trials and making it behave correctly in the real world
Maritime domain knowledge: COLREGs, AIS and radar tracking, navigation practice
Multi-agent interaction, intent estimation, or reactive and game-theoretic planning
MPC, trajectory optimization, or reachability and safety-envelope methods
Experience in defense programs

Benefits

Comp & perks

Join a small, high-impact team working at the bleeding edge of autonomy and robotics
Watch your algorithms control a real vessel at sea immediately
Shape how an entire product line navigates, from the first platform onward