Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-driven quantum systems. We're seeking visionary Quantum AI Research Scientists to develop revolutionary algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish groundbreaking research in peer-reviewed journals. Our Austin campus features state-of-the-art quantum hardware and dedicated AI innovation labs.
Competitive benefits include equity grants, flexible hybrid work arrangements, and access to exclusive industry conferences. Shape the future of human-computer interaction in an environment that values intellectual curiosity and bold innovation.
Responsibilities
- Design and implement novel quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural networks for real-time data processing
- Lead experimental validation of quantum AI models using 100+ qubit systems
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish research in top-tier journals and present at international conferences
- Mentor junior researchers and drive quantum AI education initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in quantum algorithm design and complexity analysis
- Proficiency in Python with deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or related fields
- Demonstrated ability to work with cutting-edge quantum hardware
- Strong background in linear algebra, probability theory, and information theory