AI Developer and Systems Integrator

About Kraus Hamdani Aerospace: Kraus Hamdani Aerospace is a pioneer in the development of ultra-long endurance, fully electric, zero emissions Unmanned Aerial Systems (UAS). Our flagship, the K1000ULE, is at the forefront of this innovation, integrating advanced AI for enhanced operational capabilities, including autonomous swarming, to deliver scalable solutions across military and commercial sectors. Our commitment to sustainability and excellence drives us to continuously push the boundaries of aerial technology.

Role Overview: As an AI Developer and Systems Integrator at Kraus Hamdani Aerospace, you will play a pivotal role in advancing the AI and machine learning technologies that underpin the autonomy and swarming capabilities of our UAS platforms. This position is central to our mission, requiring a blend of expertise in AI, machine learning, robotics, and system integration. You will collaborate closely with engineering teams to innovate and execute projects that define the future of unmanned aerial solutions.

Key Responsibilities:

• Develop, refine, and implement AI algorithms to enhance the swarming and autonomous capabilities of our UAS, ensuring seamless coordination and communication.
• Integrate AI-driven solutions with existing and new hardware and software systems, focusing on robustness and operational efficiency.
• Collaborate with cross-functional teams to drive the development of clean energy solutions for extended UAS endurance.
• Leverage the latest advancements in AI, machine learning, robotics, and unmanned technologies to elevate our aerial systems.
• Design, test, and deploy innovative systems that meet diverse client requirements, showcasing our UAS's advanced capabilities.

Qualifications:

• • Bachelor’s or Master’s degree in Engineering, Computer Science, or related field, with a strong focus on AI, ML, robotics, or mechatronics.
  • Proven experience in AI and ML, proficient in Python, TensorFlow, PyTorch, and familiarity with robotics and automation technologies.
  • Hands-on experience with system integration, robotics projects, or related fields, demonstrating an ability to apply AI/ML in practical applications.
  • Excellent problem-solving abilities and a passion for working in a dynamic, innovative environment