Saab
Saab
Saab is a Swedish multinational company operating across defence, aerospace and security. Founded in 1937, it develops and supplies technology for air, land, naval and civil security applications, including military aircraft such as Gripen, airborne early-warning systems such as GlobalEye, naval combat systems, sensors, submarines, maritime solutions, radar and cybersecurity products. Saab serves governments, authorities and corporations in more than 100 countries and operates in over 30, combining aerospace and defence expertise with security-focused technology.

Senior AI Engineer - Autonomous Systems at Saab

Develop AI, machine learning, and autonomous-system capabilities for Saab’s defense and security operations. Build algorithms for perception, decision-making, and physical platforms.

Description

  • Develop algorithms, models, and AI capabilities for autonomous platforms and sensor systems
  • Work on perception, sensor fusion, prediction, planning, control, and autonomous decision-making
  • Design and implement distributed decision-making and coordination systems for autonomous functions and multi-agent systems
  • Collaborate closely with data engineers, platform teams, and domain experts
  • Contribute to architecture, standards, and technical practices
  • Mentor colleagues and share knowledge within the team
  • Apply advanced algorithms, machine learning, and AI to mission-critical systems
  • Develop next-generation autonomous systems for airborne, maritime, and ground platforms, advanced sensor systems, and command-and-control systems

Requirements

  • Master of Science in computer engineering, engineering physics, AI, or an equivalent field
  • Experience with AI, machine learning, or advanced algorithm development in a production environment
  • Strong Python programming skills
  • Experience with modern development tools and frameworks for AI, machine learning, or advanced algorithm development
  • Good communication skills in Swedish and English
  • The position requires undergoing and passing checks in accordance with applicable security-protection regulations
  • For positions requiring security classification, additional citizenship requirements may apply where relevant
  • Experience developing autonomous systems, robotics, or AI for physical platforms is advantageous
  • Experience with computer vision, sensor fusion, or other perception methods is advantageous
  • Experience with reinforcement learning, optimal control, or decision-making under uncertainty is advantageous
  • Experience with simulation and evaluation of autonomous systems is advantageous
  • Experience with multi-agent systems and distributed decision-making is advantageous
  • Experience with generative AI and LLM-based solutions is advantageous
  • Experience with safety-critical systems is advantageous
  • Experience with cloud technologies, Kubernetes, and distributed systems is advantageous

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