Job Description
Shape the future of computational intelligence at Nexus Quantum Labs, where quantum computing meets artificial intelligence. We're pioneering the next wave of technological evolution, and we need visionary minds to bridge quantum algorithms with machine learning paradigms. Join our elite team in developing hybrid quantum-classical systems that will revolutionize industries from drug discovery to climate modeling.
Our state-of-the-art facility in San Francisco offers unparalleled resources for research and innovation. We provide competitive compensation, flexible work arrangements, and opportunities to collaborate with Nobel laureates and industry pioneers. If you're passionate about pushing the boundaries of what's computationally possible, this is your moment to make history.
Responsibilities
- Design and implement quantum algorithms optimized for AI training and inference tasks
- Develop hybrid quantum-classical neural architectures for complex problem-solving
- Collaborate with cross-functional teams to integrate quantum solutions into existing ML pipelines
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Publish breakthrough findings in top-tier journals and industry conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven experience with machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Strong background in quantum information theory and quantum error correction
- Publication record in quantum computing or AI research
- Ability to translate complex quantum concepts into practical AI solutions
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)