harmattan-ai

GNC Engineer

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Older posting · still listed ·

  • onsite
  • FullTime
  • R&D
  • Rabat
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
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Source: ashbyChecked Original posting ↗
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Requirements

2 with evidence7 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Minimum experience (years)
3
“3+ years of experience in aerospace GNC systems”
See matched passage in original description ↓
Employment type
FullTime
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified
Compensation
Not specified

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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.
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About the Role As a GNC Engineer on the UAV team, you’ll design and develop advanced guidance, navigation, and control (GNC) solutions. From integrating and fusing sensor data to developing control laws and flight trajectories, you'll take your work from simulation to embedded implementation—and ultimately to live flight testing. Responsibilities Develop state-of-the-art navigation and sensor fusion algorithms for UAVs Design and implement GNC and flight control systems Build filtering and estimation strategies for robust and efficient flight performance Run extensive simulations (Monte Carlo, SITL, HITL) and coverage testing Analyze test flight data and refine algorithmic performance Support full-stack system integration: GNSS, INS/IMU, localisation, and fusion Maintain and evolve a flight-proven flight computer across multiple UAV platforms Requirements Education : Engineering school or master's degree in computer science, engineering, or a related technical field 3+ years of experience in aerospace GNC systems Strong foundations in control theory, estimation, and sensor integration Proficient in Python and embedded C/C++ Experience with simulation tools (e.g., Gazebo) and version control (Git) Familiarity with open-source autopilots (PX4, Ardupilot, Betaflight, etc.) Hands-on electronics and integration skills: debugging, soldering, harnessing Bonus: FPV pilot hobbyist We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Original formatting and links

About Us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.

Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About the Role

As a GNC Engineer on the UAV team, you’ll design and develop advanced guidance, navigation, and control (GNC) solutions. From integrating and fusing sensor data to developing control laws and flight trajectories, you'll take your work from simulation to embedded implementation—and ultimately to live flight testing.

Responsibilities

  • Develop state-of-the-art navigation and sensor fusion algorithms for UAVs

  • Design and implement GNC and flight control systems

  • Build filtering and estimation strategies for robust and efficient flight performance

  • Run extensive simulations (Monte Carlo, SITL, HITL) and coverage testing

  • Analyze test flight data and refine algorithmic performance

  • Support full-stack system integration: GNSS, INS/IMU, localisation, and fusion

  • Maintain and evolve a flight-proven flight computer across multiple UAV platforms

Requirements

  • Education : Engineering school or master's degree in computer science, engineering, or a related technical field

  • 3+ years of experience in aerospace GNC systems

  • Strong foundations in control theory, estimation, and sensor integration

  • Proficient in Python and embedded C/C++

  • Experience with simulation tools (e.g., Gazebo) and version control (Git)

  • Familiarity with open-source autopilots (PX4, Ardupilot, Betaflight, etc.)

  • Hands-on electronics and integration skills: debugging, soldering, harnessing

  • Bonus: FPV pilot hobbyist

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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