Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum AI systems that will redefine computing by 2026. As a Quantum AI Research Scientist, you'll develop hybrid quantum-classical algorithms to solve previously unsolvable problems in cryptography, materials science, and autonomous systems. Our state-of-the-art facility offers unparalleled resources, including access to 128-qubit quantum processors and NVIDIA's latest AI supercomputers.
We foster a culture of relentless innovation where your breakthroughs will directly shape humanity's technological future. Collaborate with Nobel laureates and industry pioneers in an environment that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement novel quantum machine learning architectures for 2026-era applications
- Develop hybrid quantum-classical optimization algorithms for real-world problem solving
- Lead research initiatives in quantum neural networks and quantum-enhanced NLP
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Publish high-impact research in top-tier journals and conferences
- Secure patents for breakthrough quantum AI methodologies
- Mentor junior researchers in quantum computing fundamentals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Strong background in quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Published research in quantum machine learning or quantum information science
- Proficiency in Python, C++, and quantum circuit optimization
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)