עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
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.
We are looking for a "builder" mentality, someone who drives end-to-end delivery from concept to field deployment, and who treats AI coding tools as a force multiplier rather than a curiosity.
Why Join us?
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities
Build: Develop flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2; or build distributed microservices for the ground station, depending on which area fits your background.
Integrate: Work alongside Hardware Engineering (mechanical, electrical, GNC), Systems Engineering, and Program Management to integrate the software with the rest of the missile and ground station.
Test: Participate in HIL/SIL testing phases, support field trials, and write the automation that keeps these tests fast and reliable.
AI-assisted delivery: Use modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) heavily across your daily work to ship faster without compromising safety-critical standards.
Collaborate: Contribute to design reviews and architectural decisions; raise issues and propose alternatives rather than waiting for direction.
Experience: 3-5+ years in software engineering, ideally with exposure to aerospace, defense, robotics, or another safety-critical domain.
Strong in C/C++ for hard real-time environments, OR strong in distributed/back-end stacks (Go, Rust, Python, Node) for the ground-station side.
One or more of these depending on your specialization:
RTOS experience (FreeRTOS, VxWorks, embedded Linux, etc.)
Communication bus protocols: CAN bus, MIL-STD-1553, SPI, Ethernet
Distributed systems on containerized environments (Kubernetes, Docker)
Low-latency data visualization and geospatial situational awareness
Education: B.Sc. in Computer Science, Aerospace Engineering, or Electrical Engineering.
Project history: Direct experience contributing to UAVs, missiles, autonomous kinetic systems, or similar safety-critical hardware/software systems.
Eligible for security clearance.
Preferred Qualifications
AI tooling fluency: Proven track record of using AI agentic tools to ship faster, refactoring legacy systems, documenting complex architectures, generating tests.
DevOps for embedded: Experience building CI/CD pipelines for embedded systems, including automated Hardware-in-the-Loop (HIL) testing.
Sensor fusion (Radar, EO/IR, IMU) and target tracking experience.
Knowledge of cybersecurity frameworks for defense-grade software (e.g., MISRA C/C++).
Experience with secure, jam-resistant RF data links and network protocols.
M.Sc. in a relevant field.
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.
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