Job Description
Shape the future at Nexus Quantum Systems where we're pioneering the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Engineer to develop revolutionary algorithms that solve previously impossible computational challenges. Join our elite team at the forefront of technological innovation and contribute to breakthroughs that will redefine industries.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for complex optimization problems
- Develop quantum neural networks and quantum-enhanced reinforcement learning frameworks
- Conduct research in quantum error correction and fault-tolerant AI systems
- Collaborate with hardware teams to prototype quantum-AI integration solutions
- Lead open-source quantum AI projects and contribute to developer communities
- Secure research grants and publish findings in top-tier journals
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with exceptional experience)
- Expertise in quantum programming languages (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and classical AI
- Published research in quantum machine learning or quantum algorithms
- Proficiency with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Experience with high-performance computing environments and parallel processing
- Excellent analytical skills and ability to communicate complex concepts