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Information Technology 🏢 Full Time ⭐️ Verified

Autonomous Systems Engineer

Quantum Dynamics Labs
Austin
Estimated Salary
USD 175.000 – USD 225.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Quantum Dynamics Labs at the forefront of 2026's technological revolution. We're pioneering next-generation autonomous systems that will redefine transportation, logistics, and human-machine interaction. As a key member of our innovation hub in Austin, you'll collaborate with world-class engineers to develop AI-driven solutions that anticipate future needs. Our culture combines cutting-edge research with agile development, offering unmatched growth opportunities in a dynamic environment.

We provide comprehensive benefits including equity participation, flexible schedules, and dedicated R&D time to explore emerging technologies. Shape the future with us.

Responsibilities

  • Design and implement AI algorithms for autonomous decision-making systems
  • Develop simulation environments for real-world autonomous scenarios
  • Optimize machine learning models for edge deployment in IoT ecosystems
  • Collaborate with cross-functional teams on quantum-adjacent computing solutions
  • Lead prototyping of next-gen sensor fusion technologies
  • Contribute to patent development for novel autonomous system architectures
  • Mentor junior engineers in emerging AI frameworks

Qualifications

  • Masters in Computer Science, Robotics, or related field (PhD preferred)
  • 5+ years experience in autonomous systems or AI/ML engineering
  • Proficiency in Python, TensorFlow, and ROS 2.0 frameworks
  • Published research in reinforcement learning or computer vision
  • Experience with real-time operating systems and edge computing
  • Strong understanding of ethical AI deployment frameworks
  • Portfolio demonstrating complex autonomous system implementations
  • Ability to secure US government clearance (if applicable)

Required Skills

Machine Learning Autonomous Systems AI Engineering TensorFlow ROS 2.0 Python Reinforcement Learning Computer Vision Edge Computing

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