Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-Quantum integration. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational paradigms in 2026 and beyond. This role offers unparalleled opportunities to work with state-of-the-art quantum processors and collaborate with Nobel laureates in our state-of-the-art San Francisco research facility. Our team operates at the intersection of quantum mechanics, machine learning, and theoretical computer science, solving challenges previously deemed impossible.
As part of our elite research division, you'll contribute to projects that will shape humanity's technological trajectory. We offer competitive compensation, flexible work arrangements, and a culture that values intellectual curiosity above all else. Your work will directly influence the development of quantum-resistant AI systems and next-gen cryptographic protocols.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical AI frameworks for 2026-era computational challenges
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to prototype quantum AI applications on quantum processors
- Author breakthrough research papers for premier scientific journals and conferences
- Advise on quantum security protocols for next-generation AI systems
- 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 languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and classical AI algorithms
- Published research in quantum machine learning or quantum information theory
- Strong mathematical foundation in linear algebra, probability, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations