Job Description
Join NeoHorizon Dynamics at the forefront of 2026's technological revolution. We're seeking a visionary Autonomous Systems Integration Engineer to architect next-generation AI-driven ecosystems. This role offers unparalleled opportunities to pioneer solutions that will redefine human-machine collaboration. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to bridge quantum computing, neural interfaces, and decentralized networks. Enjoy comprehensive benefits including equity, unlimited learning stipends, and flexible hybrid work arrangements.
Responsibilities
- Design and implement cross-domain AI integration frameworks for autonomous vehicles and robotics
- Lead quantum-encrypted communication protocols between edge devices and cloud infrastructure
- Develop neural interface feedback loops for human-AI symbiotic systems
- Architect decentralized governance models for multi-agent autonomous networks
- Optimize real-time decision-making algorithms using federated learning techniques
- Coordinate with global R&D teams on ethical AI alignment protocols
- Drive patent development for next-gen autonomous system architectures
Qualifications
- PhD in Robotics/AI/Systems Engineering or equivalent with 5+ years industry experience
- Expertise in quantum-resistant cryptography and distributed ledger technologies
- Proficiency in ROS 2, TensorFlow Quantum, and neuromorphic computing frameworks
- Published research in IEEE/ACM journals on autonomous systems integration
- Hands-on experience with neuromorphic hardware (Loihi, SpiNNaker)
- Strong background in multi-agent reinforcement learning and swarm robotics
- Security clearance or ability to obtain DoD-level clearance preferred