Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering the next wave of quantum-AI fusion systems that will redefine computational paradigms in 2026. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum neural networks. Our Austin Innovation Hub offers unparalleled resourcesâincluding 1000-qubit processors and a $50M research budgetâto transform theoretical breakthroughs into real-world applications. Enjoy flexible hybrid work, equity grants, and exclusive access to our quantum simulation labs.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for machine learning optimization
- Lead experimental validation of quantum neural networks on proprietary hardware
- Develop error-correction protocols for fault-tolerant quantum AI systems
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Publish research in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and drive innovation in quantum-AI research initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proven expertise in machine learning and deep learning architectures
- Strong publication record in quantum information science or AI research
- Familiarity with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Ability to translate complex quantum concepts into practical engineering solutions
- Excellent problem-solving skills and passion for pushing technological boundaries