Job Description
Join FutureTech Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our Austin-based research hub is seeking visionary Quantum AI Research Engineers to architect breakthrough solutions that will redefine 2026's digital landscape. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets cutting-edge machine learning. We offer competitive equity packages, unlimited R&D budgets, and the autonomy to transform ambitious concepts into reality. Your work will directly shape how humanity interacts with quantum-enhanced AI in the coming decade.
Responsibilities
- Design and implement quantum algorithms for AI optimization in fault-tolerant quantum computing environments
- Develop hybrid quantum-classical neural architectures for 2026-era autonomous systems
- Lead cross-functional teams in prototyping next-generation quantum machine learning models
- Secure research grants and publish breakthrough findings in top-tier journals
- Architect quantum-resistant cybersecurity frameworks for critical infrastructure
- Mentor PhD candidates in quantum computing applications
- Collaborate with hardware teams to design quantum-AI co-processors
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI with 3+ years industry experience
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum machine learning or quantum algorithms
- Proficiency with tensor networks and quantum error correction techniques
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Experience with high-performance computing clusters and cloud quantum services
- Demonstrated ability to secure competitive research funding
- Fluency in Python, C++, and quantum circuit design