Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry pioneers to develop quantum neural networks and hybrid AI systems. This role offers unparalleled opportunities to shape humanity's technological future while enjoying competitive compensation, equity packages, and flexible work arrangements.
Our team operates at the intersection of physics, computer science, and machine learning, tackling challenges previously deemed impossible. You'll have access to cutting-edge quantum processors and dedicated research time to explore revolutionary concepts. We value intellectual curiosity as much as technical expertise, offering a culture where bold ideas thrive and rapid experimentation is encouraged.
Responsibilities
- Design and implement quantum neural network architectures for next-generation AI systems
- Develop hybrid quantum-classical algorithms for optimization and machine learning tasks
- Lead experimental validation of quantum AI models on real quantum hardware
- Collaborate with cross-functional teams to translate research into practical applications
- Author breakthrough research papers for top-tier scientific journals and conferences
- Secure patents for novel quantum AI methodologies and system designs
- Mentor junior researchers and contribute to our open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and algorithm design
- Published research in quantum computing or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into experimental implementations