Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation systems that redefine computational boundaries. Our interdisciplinary team operates from a state-of-the-art facility in San Francisco's innovation corridor, with access to cutting-edge quantum hardware and collaborative partnerships with leading research institutions.
We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Your work will directly impact breakthroughs in materials science, cryptography, and computational biology.
Responsibilities
- Design and implement quantum algorithms leveraging machine learning frameworks for optimization problems
- Develop hybrid quantum-classical architectures for AI model acceleration
- Collaborate with physicists to prototype quantum hardware interfaces and error correction protocols
- Lead research initiatives in quantum neural networks and quantum machine learning
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers and contribute to open-source quantum AI toolkits
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with exceptional experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, PennyLane) and Python ML frameworks
- Published research in quantum machine learning or quantum algorithms
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to translate theoretical concepts into practical implementations
- Passion for ethical AI development and quantum technology democratization