Job Description
Join Nexus Quantum Labs at the frontier of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries. Our Austin campus features state-of-the-art quantum annealers and AI neural networks, fostering an environment where theoretical physics meets practical innovation. Collaborate with Nobel laureates and industry disruptors while contributing to breakthroughs in drug discovery, climate modeling, and cryptography. This isn't just research – it's the blueprint for tomorrow's digital ecosystem.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Develop error-correction protocols for quantum neural networks
- Lead experimental validation of quantum AI algorithms on real hardware
- Author peer-reviewed publications in top-tier journals (Nature, Science)
- Secure $2M+ in federal and corporate research grants
- Mentor PhD researchers and cross-functional engineering teams
- Translate theoretical advances into commercial IP portfolios
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum cryptography
- Expertise in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Demonstrated success in securing NSF or DARPA grants
- Proficiency with high-performance computing clusters (HPC)
- Strong background in information theory and quantum entanglement