Job Description
Shape the computational frontier at Nexus Quantum Labs, where we're building the next-generation AI infrastructure for 2026. As a Quantum AI Systems Architect, you'll design hybrid quantum-classical systems that solve previously impossible problems in drug discovery, climate modeling, and financial optimization. Join our elite team of visionaries and work with bleeding-edge hardware while earning equity in a company poised to redefine technology's future.
Responsibilities
- Architect scalable quantum-AI integration pipelines using Qiskit and Cirq frameworks
- Develop fault-tolerant quantum algorithms for machine learning acceleration
- Lead prototyping of quantum neural networks on superconducting processors
- Optimize hybrid workflows leveraging AWS Braket and IBM Quantum services
- Collaborate with Nobel laureates to solve NP-hard problems in real-time
- Secure patents for breakthrough quantum-classical convergence methodologies
- Mentor PhD researchers in quantum error correction techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research)
- 5+ years experience with quantum circuit design and noise modeling
- Published research in Nature/Science on quantum machine learning
- Expertise in Python/C++ with quantum libraries (Qiskit, PyTorch Quantum)
- Familiarity with topological quantum computing and boson sampling
- Strong background in tensor networks and quantum variational algorithms
- Certification in quantum cloud platform architecture (Azure Quantum, D-Wave)