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Requirements:
What we care about (beyond titles)
* You’ve led engineers - and made them better
* You’ve built real systems at scale - and felt the trade-offs
* You’re still hands-on and want to stay that way
* You think in systems, not just services
* You don’t hide behind process - you use it when it helps and ignore it when it doesn’t
* You take ownership beyond your “scope” AI is part of the job You actively use AI tools (Codex, Claude Code, Cursor…) in your daily workflow You help others use them better You understand where AI accelerates - and where it breaks You’re interested in redefining how engineering teams work with AI - not just individually, but as a system What makes this role different
* You won’t just manage execution - you’ll shape how we build
* You won’t just lead people - you’ll lead thinking
* You’ll have real influence on architecture, product, and engineering culture
* You’ll work on systems that actually matter - with real scale and real impact
* You’ll help define what a high-performing AI-native engineering team looks like Stack (for context, not as a checklist)
* Node.js / TypeScript
* Distributed, event-driven systems
* Kafka
* AWS
* MongoDB + Postgres
* Containers (Docker, Kubernetes / ECS) If you want to be a “manager”, this isn’t the role. If you want to build, lead, and rethink how engineering works - we should talk. ?Super-competitive compensation for those who fit!

Requirements:
Sc. in Electrical Engineering / Electro-Optics / Physics or equivalent - must
5+ years of experience in system engineering of complex hardware products (defense / inertial / electro-optics - strong advantage)
Strong system-level thinking - hands-on approach
Experience with sensors (IMU, gyros, accelerometers) - significant advantage
Experience in multidisciplinary systems (HW, FW, SW, mechanics)
Hands-on experience with lab equipment and system bring-up - must
Strong analytical, debugging, and problem-solving skills
Experience with Python / MATLAB or similar tools - advantage
Familiarity with MIL-STD / environmental & qualification testing - advantage
Excellent interpersonal skills and ability to lead without authority

Requirements:
2-3 years experience in program management, or similar roles.
Experience with products involving HW assembly and integration, and HW deliveries to customers.
Experience in leading multidisciplinary technical programs - an advantage.
Academic degree in Engineering
Results oriented and self-driven manager.
Excellent communication and leadership skills.
Ability to work independently and prioritize tasks in a fast-paced environment.
Experience in agile work environment - an advantage.
Fluent in English.

Requirements:
Bachelors degree in computer science or software engineering is required.
At least two years of professional experience after graduation.
Experience with Software development in the C/C++.
Experience with QT application is an advantage.
Knowledge of communication protocols such as SDLC, I2C, SPI, UART, CANBUS is an advantage.
Strong analytical, debugging, and problem-solving skills.
Ability to work effectively as part of a team.