Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect next-generation algorithms at the intersection of quantum mechanics and machine learning, solving problems deemed impossible today. Our state-of-the-art lab in San Francisco's Tech Hub offers unparalleled resources to accelerate breakthroughs.
This role is perfect for visionary researchers who thrive at the bleeding edge. You'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum neural networks, pushing the boundaries of computational intelligence. We offer competitive equity packages, unlimited R&D budgets, and a culture where your boldest ideas become reality.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Publish breakthrough research in top-tier journals and conferences
- Translate theoretical quantum models into deployable enterprise solutions
- Collaborate with hardware teams to optimize quantum-AI system performance
- Secure patents and intellectual property for novel quantum methodologies
- Mentor junior researchers and foster an innovation-first culture
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent research experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
- Publication record in quantum machine learning or adjacent fields
- Expertise in deep learning architectures and high-performance computing
- Strong background in linear algebra, probability, and information theory
- Proven ability to translate complex theoretical concepts into practical implementations
- Experience securing research grants or industry partnerships