Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. 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 algorithms that push the boundaries of computational possibility. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations.
We value interdisciplinary brilliance and offer competitive compensation, equity packages, and flexible work arrangements. Shape the future with a team of Nobel-caliber researchers and visionary engineers.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop error-corrected quantum circuits for AI training acceleration
- Collaborate with physicists to create hybrid quantum-classical computing frameworks
- Lead research initiatives in quantum neural networks and generative AI
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and algorithm optimization
- Strong background in linear algebra, probability theory, and quantum mechanics
- Published research in quantum computing or AI at top-tier conferences
- Proficiency in high-performance computing environments and parallel processing
- Demonstrated ability to translate complex theoretical concepts into practical implementations