Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution! We're pioneering autonomous systems that redefine human-machine interaction. As an AI and Autonomous Systems Engineer, you'll architect intelligent solutions for next-gen robotics, adaptive infrastructure, and predictive analytics platforms. Collaborate with Nobel laureates and MIT-affiliated researchers in our state-of-the-art quantum-optimized labs. Enjoy flexible schedules, equity grants, and unlimited learning stipends. Shape the future of AI-driven autonomy while solving humanity's grandest challenges.
Responsibilities
- Design and deploy scalable autonomous systems using reinforcement learning and federated networks
- Develop quantum-optimized algorithms for real-time decision-making in dynamic environments
- Lead cross-functional teams integrating computer vision, NLP, and edge computing
- Architect ethical AI frameworks ensuring compliance with 2026's autonomous regulatory standards
- Optimize neural networks for energy-efficient distributed computing across 5G/6G networks
- Conduct blue-sky research in human-AI symbiosis and emergent behavior modeling
- Drive innovation in explainable AI (XAI) for high-stakes autonomous applications
Qualifications
- PhD in Computer Science, Robotics, or Quantum Computing with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and reinforcement learning frameworks (RLlib, Stable Baselines)
- Published research in autonomous systems or AI ethics at NeurIPS/ICML/ICRA
- Proficiency in quantum computing programming (Qiskit, Cirq) and distributed computing
- Experience with ROS 2.0, CUDA, and Kubernetes for edge deployment
- Deep understanding of ISO/IEC 24027 AI governance frameworks
- Track record of shipping production-grade autonomous systems in regulated industries