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Autonomous Vehicle Systems Engineer

Future Mobility Inc.
Austin
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Future Mobility Inc. at the forefront of transportation revolution! We're seeking visionary Autonomous Vehicle Systems Engineers to architect the next generation of self-driving technology. Collaborate with world-class AI researchers and hardware engineers to deploy cutting-edge perception, navigation, and control systems that will reshape mobility by 2026. Enjoy competitive compensation, flexible work arrangements, and the opportunity to impact billions of lives through innovation.

Responsibilities

  • Design and implement real-time software frameworks for autonomous vehicle perception systems
  • Develop machine learning models for object detection, path planning, and decision-making
  • Integrate sensor fusion technologies (LiDAR, radar, cameras) into unified control systems
  • Conduct simulation testing and validation of autonomous driving scenarios
  • Collaborate with cross-functional teams to ensure regulatory compliance and safety standards
  • Optimize algorithms for edge computing in constrained vehicle environments
  • Document technical specifications and contribute to open-source autonomous driving projects

Qualifications

  • Bachelor's degree in Computer Science, Robotics, or related field (Master's preferred)
  • 3+ years experience in autonomous vehicle systems or robotics development
  • Proficiency in C++, Python, and ROS (Robot Operating System)
  • Expertise in machine learning frameworks (TensorFlow, PyTorch) and sensor fusion algorithms
  • Strong understanding of real-time operating systems and embedded programming
  • Experience with simulation tools (CARLA, Gazebo) and hardware-in-the-loop testing
  • Knowledge of automotive safety standards (ISO 26262, SOTIF)
  • Excellent problem-solving skills and ability to work in agile environments

Required Skills

Machine Learning C++ Python ROS Sensor Fusion Control Systems Real-time Computing Embedded Systems AI Path Planning

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