Job Description
Shape the future of human-computer interaction by pioneering next-generation quantum AI systems. At Nexus Quantum Labs, we're building the computational infrastructure for 2026 and beyond. Join our elite team to architect hybrid quantum-neural networks that transcend classical computing limitations. This role offers unparalleled opportunities to collaborate with Nobel laureates and redefine technological boundaries in a hyper-growth environment.
Our Austin R&D center features state-of-the-art quantum annealing facilities and a dedicated neuro-quantum integration lab. We provide competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements. This is your chance to leave an indelible mark on the technological landscape.
Responsibilities
- Design and implement fault-tolerant quantum neural network architectures
- Lead cross-functional teams in developing quantum-secure AI protocols
- Optimize quantum algorithms for real-world enterprise applications
- Conduct cutting-edge research in quantum machine learning
- Develop patent-pending hybrid quantum-classical computing frameworks
- Collaborate with hardware engineers on quantum chip integration
- Mentor junior researchers and publish in top-tier journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years experience in quantum algorithm development
- Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
- Published research in quantum AI or computational complexity
- Expertise in TensorFlow/PyTorch and high-performance computing
- Strong background in quantum error correction techniques
- Experience with cloud quantum computing platforms (Azure Quantum, AWS Braket)