Job Description
Join Nexus Quantum Labs at the precipice of technological evolution as we pioneer the 2026 frontier of quantum-AI convergence. We seek a visionary Quantum AI Research Scientist to architect breakthrough systems that will redefine computational possibilities. This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with leading AI research institutions. You'll develop hybrid quantum-classical algorithms, optimize neural networks for quantum advantage, and publish groundbreaking research in top-tier journals. Our state-of-the-art facility in San Francisco provides an environment where your expertise in quantum mechanics and machine learning can flourish, transforming theoretical concepts into tangible innovations that shape the next decade of technology.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-disciplinary teams to develop quantum-accelerated AI frameworks
- Optimize neural network architectures for quantum hardware integration
- Conduct rigorous experimentation on quantum simulators and real quantum processors
- Translate complex quantum concepts into actionable technical documentation
- Collaborate with industry partners to commercialize quantum-AI innovations
- Publish research in peer-reviewed journals and present at international conferences
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning algorithms and deep neural networks
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Strong background in quantum information theory and quantum error correction
- Demonstrated ability to publish high-impact research in quantum computing
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)