Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's grandest challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries. Collaborate with Nobel laureates in our state-of-the-art facility where quantum supremacy meets neural networks. Shape the future of AI-driven drug discovery, climate modeling, and autonomous systems.
Our team operates at the intersection of quantum mechanics, deep learning, and applied mathematics. We offer unparalleled resources: 512-qubit quantum processors, petascale GPU clusters, and unlimited cloud compute. Your work will directly impact Fortune 500 partners in biotech, aerospace, and finance.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Develop novel hybrid quantum-classical neural architectures
- Lead cross-functional projects with hardware and software engineers
- Publish breakthrough research in top-tier journals/conferences
- Translate theoretical models into production-grade quantum algorithms
- Collaborate with industry partners to solve real-world quantum-AI challenges
- Mentor junior researchers and drive technical innovation roadmap
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- Expertise in quantum algorithms (Shor, Grover, VQE) and quantum circuit design
- Proficiency in Python with TensorFlow/PyTorch and quantum SDKs (Qiskit, Cirq)
- Strong publication record in quantum machine learning or related fields
- Experience with high-performance computing and distributed systems
- Deep understanding of quantum error correction and fault tolerance
- Ability to communicate complex quantum-AI concepts to technical/non-technical stakeholders