Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer the next generation of intelligent systems. In this groundbreaking role, you'll develop quantum-entangled neural networks and hybrid quantum-classical algorithms that will redefine artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into reality.
As part of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and the opportunity to shape how quantum AI will transform industries by 2026. If you're passionate about pushing beyond conventional computing boundaries, this is your moment to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI applications
- Develop hybrid quantum-classical neural architectures leveraging 2026 hardware capabilities
- Lead research in quantum error correction and fault-tolerant computing systems
- Collaborate with hardware teams to optimize quantum-AI co-design strategies
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive innovation in quantum AI methodologies
- Translate theoretical quantum computing concepts into practical AI solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum algorithms and quantum circuit design
- Proficiency in Python, TensorFlow, PyTorch, and quantum programming frameworks
- Strong background in deep learning architectures and statistical modeling
- Published research in quantum computing or AI (NeurIPS, ICML, or equivalent)
- Experience with quantum hardware platforms (IBM Q, Rigetti, or D-Wave)
- Demonstrated ability to lead complex research projects from concept to implementation