Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen computational frameworks that transcend classical limitations. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and emergent computing paradigms. This role offers unparalleled resourcesâincluding our 512-qubit quantum annealerâand the opportunity to publish groundbreaking research in top-tier journals.
We foster a culture of radical innovation where curiosity is our compass. Enjoy flexible schedules, unlimited R&D budgets, and quarterly innovation retreats to global tech hubs. Your work will directly influence the trajectory of AI development in the coming decade.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for unsupervised learning
- Develop error-correction protocols for fault-tolerant quantum neural networks
- Lead cross-functional teams in prototyping quantum-AI applications for drug discovery and materials science
- Author peer-reviewed publications and secure federal grants for quantum computing initiatives
- Optimize quantum circuit architectures for real-time inference at scale
- Mentor junior researchers in quantum machine learning methodologies
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 5+ years of research experience in quantum algorithms or quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Publication record in Nature/Science or top-tier ML conferences (NeurIPS, ICML)
- Expertise in tensor networks and quantum state tomography
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Experience with high-performance computing clusters and GPU acceleration
- Demonstrated ability to translate theoretical concepts into experimental prototypes