Job Description
Shape the future of technology at Nexus Quantum Solutions. We're pioneering quantum-AI convergence systems that will redefine computational capabilities by 2026. As a Quantum AI Infrastructure Architect, you'll design next-gen frameworks merging quantum processors with neural networks to solve previously unsolvable challenges. Join our elite team in San Francisco to architect the digital backbone of tomorrow's breakthrough technologies.
Why Nexus Quantum? We're not just building systems—we're creating paradigms. Our engineers work in state-of-the-art labs with access to quantum hardware and AI supercomputers. This role offers unparalleled opportunities to publish research, lead cross-disciplinary projects, and influence industry standards at the intersection of quantum physics and artificial intelligence.
Responsibilities
- Design scalable quantum-AI hybrid architectures for enterprise applications
- Develop quantum algorithms optimized for machine learning workloads
- Integrate quantum processors with classical AI frameworks (PyTorch, TensorFlow)
- Implement quantum error correction protocols for real-world deployments
- Lead quantum cloud infrastructure design on AWS Braket and Azure Quantum
- Collaborate with research teams to prototype 2026-era quantum neural networks
- Document architectural blueprints and performance benchmarks
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- 5+ years designing high-performance distributed systems
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE)
- Proficiency in Python, C++, and quantum circuit optimization
- Experience with quantum hardware (IBM Q, Rigetti, IonQ)
- Published research in quantum machine learning or related fields