Job Description
Shape the future at Nexus Future Labs, where we're pioneering the next wave of quantum-AI integration. We seek a visionary Quantum AI Research Engineer to develop revolutionary algorithms that will redefine computational boundaries. Join our elite team in Austin, TX, working at the intersection of quantum computing, machine learning, and advanced neural networks. This role offers unparalleled opportunities to publish groundbreaking research and contribute to technologies that will dominate 2026 and beyond.
Responsibilities
- Design and implement novel quantum-enhanced machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical neural architectures for complex data processing
- Collaborate with quantum hardware engineers to optimize algorithms for next-generation processors
- Lead research initiatives in quantum cryptography and secure AI systems
- Create computational frameworks for simulating quantum phenomena in classical environments
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years of research experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and classical algorithms
- Experience with quantum error correction and fault-tolerant systems
- Proven track record of peer-reviewed publications in quantum/AI research
- Proficiency in high-performance computing environments (HPC)
- Deep understanding of quantum information theory and computational complexity