Job Description
Shape the technological landscape of 2026 as a Quantum AI Research Scientist at Nexus Innovations. We're pioneering the convergence of quantum computing and artificial intelligence to solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. Join our interdisciplinary team of world-class researchers in a state-of-the-art lab where your work will directly influence the next generation of breakthrough technologies.
This role offers unparalleled access to quantum hardware, petascale computing resources, and collaborative partnerships with leading academic institutions. You'll develop novel algorithms that harness quantum advantage while mentoring the next wave of innovators. Our culture emphasizes intellectual curiosity, rapid prototyping, and real-world impact.
Responsibilities
- Design and implement quantum machine learning algorithms for NISQ-era hardware
- Lead research in quantum neural networks and hybrid quantum-classical systems
- Develop error mitigation strategies for practical quantum AI applications
- Collaborate with hardware teams to co-design quantum-AI optimized architectures
- Translate theoretical research into patentable quantum AI frameworks
- Publish findings in top-tier journals (Nature, Science, etc.) and present at major conferences
- Mentor junior researchers and drive quantum AI education initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years research experience
- Published work in quantum machine learning or quantum algorithms
- Proficiency in Python, Qiskit, Cirq, and quantum circuit design
- Strong background in tensor networks and quantum information theory
- Experience with high-performance computing clusters and GPU acceleration
- Expertise in at least one classical ML framework (PyTorch, TensorFlow)
- Demonstrated ability to translate complex theory into practical implementations