Job Description
Join the forefront of technological innovation at Nexus Quantum Labs, where we're pioneering the next generation of quantum-AI hybrid systems for 2026 and beyond. As a Quantum AI Research Engineer, you'll collaborate with world-class scientists to develop groundbreaking algorithms that leverage quantum computing's exponential potential. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for transforming theoretical physics into practical applications.
We're seeking visionaries who thrive at the intersection of quantum mechanics and artificial intelligence. You'll contribute to projects that could revolutionize fields from drug discovery to climate modeling, while working in an environment that values intellectual curiosity and cross-disciplinary collaboration. Your work will directly shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum algorithms optimized for NISQ-era hardware
- Develop hybrid quantum-classical machine learning models for real-world applications
- Conduct experimental validation of quantum advantage in computational tasks
- Collaborate with AI teams to integrate quantum solutions into neural networks
- Author research papers and patents for breakthrough quantum methodologies
- Mentor junior researchers in quantum computing principles
- Stay current with emerging quantum hardware and software developments
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Experience with quantum circuit optimization and error mitigation
- Published research in quantum computing or related fields preferred
- Expertise in high-performance computing environments
- Demonstrated ability to translate complex theoretical concepts into practical implementations