Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's grandest challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that merge quantum computing with neural networks, pushing the boundaries of computational intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 100-qubit quantum processor and exclusive access to our AI training supercluster. You'll collaborate with Nobel laureates and industry disruptors to develop breakthrough applications in drug discovery, climate modeling, and autonomous systems.
We offer competitive equity packages, flexible remote work options, and a wellness stipend. Your work will directly impact industries transforming by 2030.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks using Python and Qiskit
- Lead cross-functional teams to translate research into production-ready solutions
- Publish findings in top-tier journals and present at global tech conferences
- Optimize quantum circuit performance for AI workloads on proprietary hardware
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum algorithms (QAOA, VQE) and deep learning architectures
- Proficiency with quantum programming languages (Qiskit, Cirq) and TensorFlow/PyTorch
- 3+ years of research experience in quantum-AI hybrid systems
- Strong publication record in quantum computing or AI conferences
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to lead complex technical projects
- Passion for ethical AI development and quantum democratization