Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that leverage quantum entanglement and neural networks to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for innovation, including access to quantum processors and AI supercomputing clusters. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical AI systems
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware engineers to optimize quantum-AI integration
- Drive innovation in quantum neural networks and error correction techniques
- Mentor junior researchers and foster a culture of scientific excellence
- Secure patents and intellectual property for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 5+ years of hands-on quantum algorithm development and AI research
- Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Strong publication record in quantum computing or AI journals
- Experience with quantum hardware (IBM, Rigetti, or IonQ)
- Demonstrated ability to lead complex R&D projects
- Passion for solving 21st-century challenges through quantum-AI convergence