Job Description
Join the forefront of transportation revolution at Future Mobility Inc. We're seeking a visionary Autonomous Vehicle Systems Engineer to architect the next generation of self-driving technology. As a key innovator in our R&D division, you'll design cutting-edge AI algorithms, integrate sensor fusion systems, and pioneer real-time decision-making frameworks that will redefine mobility by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources to prototype and deploy solutions that will shape the future of autonomous transportation.
This role demands a blend of technical expertise and creative problem-solving. You'll collaborate with world-class robotics specialists, machine learning researchers, and automotive engineers to develop fail-safe systems capable of navigating complex urban environments. We offer competitive compensation, equity packages, and the opportunity to work on projects that directly impact billions of lives.
Responsibilities
- Design and implement real-time perception systems using LiDAR, radar, and camera fusion
- Develop deep learning models for object detection, path planning, and decision-making
- Optimize autonomous driving algorithms for safety and efficiency in urban environments
- Lead integration of V2X communication protocols with vehicle control systems
- Conduct simulation testing and validation in virtual cityscapes
- Collaborate with hardware teams to calibrate sensor arrays and actuators
- Document technical specifications and contribute to patent filings
Qualifications
- Bachelor's degree in Computer Science, Robotics, or related field (MS/PhD preferred)
- 5+ years experience in autonomous systems, embedded software, or robotics
- Expertise in C++, Python, and ROS with real-time system optimization
- Strong background in computer vision and sensor fusion technologies
- Experience with autonomous driving frameworks (Apollo, Autoware, or CARLA)
- Knowledge of ISO 26262 functional safety standards
- Track record of deploying AI/ML models in production environments