Job Description
Shape the future by pioneering quantum-AI integration at Nexus Quantum Solutions. We're seeking visionary researchers to develop hybrid quantum-neural systems that will revolutionize computational capabilities by 2026. Join our elite team at the intersection of quantum mechanics and artificial intelligence.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop error-corrected quantum computing protocols for large-scale AI training
- Collaborate with cross-functional teams to prototype quantum-AI applications
- Optimize quantum circuits for real-time inference tasks
- Lead research on quantum-inspired neural network architectures
- Publish findings in top-tier journals and conferences
- Secure federal and private research grants
Qualifications
- PhD in Physics, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on quantum computing experience with frameworks like Qiskit or Cirq
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Strong background in quantum error correction and fault tolerance
- Published research in quantum computing or AI
- Proficiency in Python and low-level programming (C++)
- Experience with high-performance computing clusters