Job Description
Join Nexus Futures at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing, cryptography, and autonomous decision-making. As a Quantum AI Research Scientist, you'll architect the next generation of algorithms that leverage quantum mechanics and machine learning to solve previously unsolvable problems. Our state-of-the-art lab in San Francisco offers unparalleled resources to push the boundaries of what's possible.
We're seeking visionaries who thrive at the intersection of quantum physics and artificial intelligence. You'll collaborate with Nobel laureates and Silicon Valley innovators to develop proprietary frameworks for industries ranging from drug discovery to climate modeling. This isn't just research—it's about creating the foundational technologies that will shape humanity's next decade.
Responsibilities
- Design and implement quantum algorithms compatible with classical neural networks
- Lead breakthrough research in quantum machine learning architectures
- Develop error-correction protocols for quantum-AI hybrid systems
- Collaborate with hardware teams to optimize quantum hardware integration
- Publish findings in top-tier journals and present at international conferences
- Secure patents for novel quantum-AI methodologies
- Mentor PhD researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics
- 5+ years in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Cirq) and ML frameworks
- Published research in Nature/Science or equivalent journals
- Expertise in quantum error correction and fault-tolerant systems
- Experience with high-performance computing and GPU acceleration
- Strong track record of translating theoretical concepts into practical applications