Salary
≈ $73k – $160k per year (Estimated)
Location
Hybrid (Ramat Gan, Israel)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 6, 2026.
Overview
Company
Impact
Profile match
AITAN equips allied militaries with a sovereign full-stack robotic battlefield - autonomous combat, fought on your terms.
Description
AITAN builds a multi-drone control platform for safe operations, clear situational awareness, and real-time decision support in dynamic, high-risk environments.
Our tech supports military teams with a safe, easy-to-use operating system, creating impact every day in the field.
We are looking for an experienced Flight Control Engineer to join our Algorithms team and lead the flight control domain across our autonomous drone platform. In this role, you'll develop advanced control algorithms at the intersection of robotics, aerodynamics and autonomous systems, enabling safe and autonomous flight in complex real-world environments.
What You'll Do
- Design, implement and improve flight control and guidance algorithms for autonomous drone systems
- Develop and optimize control loops running onboard the aircraft in real-time environments
- Take algorithms from concept and simulation through flight testing and production deployment
- Own the full lifecycle, from design and implementation to testing, tuning, deployment and ongoing production improvements
- Lead the flight control domain within the algorithms team and drive technical decisions
- Work closely with software, hardware and system engineers to develop robust aerial autonomy capabilities
Requirements
- M.Sc. in a relevant field such as Aerospace Engineering, Robotics, Electrical Engineering, Mechanical Engineering or Control Systems
- 4+ years of experience developing flight control or real-time algorithms for production systems
- Strong background in control systems, robotics or autonomous systems, with a focus on control and stability
- Strong understanding of aerodynamics and aerial robotic systems
- Hands-on experience with control and estimation algorithms (e.g., PID, state estimation, sensor fusion) in real-world systems
- Experience implementing and optimizing algorithms in C++ or Python
- Experience working closely with hardware, sensors and real-time constraints
Nice to Have
- Ph.D. in a relevant field
- Experience with drones or flight control systems
- Experience with GNSS-denied navigation
- Experience with simulation-to-real workflows
- Linux development and debugging experience
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