Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computing paradigms by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence and quantum mechanics in our state-of-the-art laboratory.
What You'll Achieve:
You'll lead research initiatives at the intersection of quantum computing and machine learning, developing novel algorithms for optimization problems and neural network acceleration. Your work will directly influence our roadmap for deploying quantum-empowered AI solutions in cryptography, materials science, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning algorithms using frameworks like Qiskit and Cirq
- Lead research on quantum neural networks and hybrid quantum-classical systems
- Develop error mitigation strategies for quantum computing at scale
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Publish findings in top-tier journals and present at international conferences
- Secure research grants and partnerships with leading quantum computing providers
- Mentor junior researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum computing frameworks (Qiskit, PennyLane, etc.)
- Deep expertise in machine learning algorithms and neural network architectures
- Strong publication record in quantum information or quantum machine learning
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate theoretical research into practical implementations
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)