Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll design and implement groundbreaking algorithms that merge quantum computing principles with advanced machine learning architectures. Collaborate with world-class engineers in our state-of-the-art San Francisco facility to solve humanity's most complex challenges—from climate modeling to personalized medicine. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to shape the technological landscape of 2026 and beyond.
Responsibilities
- Develop novel quantum machine learning models for real-world applications
- Lead cross-functional teams in building hybrid quantum-classical computing frameworks
- Optimize quantum algorithms for NISQ-era hardware limitations
- Publish research in top-tier journals and present at international conferences
- Collaborate with product teams to commercialize quantum AI solutions
- Secure research grants and partnerships with quantum hardware providers
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Proficiency in Python and quantum algorithm design
- Published research in quantum machine learning or quantum information theory
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate theoretical concepts into practical implementations