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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
This position focuses heavily on guidance and mission-level decision-making for high-performance aerial systems operating in dynamic, real-world environments.
You will design and deploy guidance and motion planning algorithms that enable precise, high-speed maneuvers and complex mission execution. This role blends analytical rigor with creativity, tackling problems that often have no textbook solutions. Youll collaborate closely with hardware, embedded software, and perception teams to bring advanced autonomy from concept to flight.
Key Responsibilities
Design, develop, and optimize guidance and motion planning algorithms for autonomous drones
Define mission-level behaviors and guidance logic, balancing performance, safety, and robustness
Implement real-time control interfaces to execute trajectories reliably in uncertain conditions
Work closely with embedded software, mechatronics, and perception teams to ensure seamless integration
Identify and address edge cases and failure modes, building resilience and graceful degradation
Stay current with advancements in drone autonomy, guidance, motion planning, and control
BSc or MSc in Mechanical, Aerospace, or related engineering fields.
3+ years of experience in GNC, guidance, autonomy, or related aerospace/robotics fields
Strong experience with AI tools, guidance algorithms, trajectory generation, and motion planning
Solid understanding of system-level constraints affecting real-world aerial platforms
Hands-on experience with real-world drone development, debugging, and iteration
Strong collaboration skills across software, hardware, and deployment teams
A creative, problem-solving mindset with a passion for advanced aerial missions
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.