Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Systems Architect to design next-generation hybrid quantum-classical computing platforms. This role bridges quantum physics, machine learning, and distributed systems to solve humanity's most complex challenges. You'll collaborate with Nobel laureates, publish groundbreaking research, and directly shape the future of computational intelligence.
What you'll achieve: Design fault-tolerant quantum neural networks, architect quantum-secure communication protocols, and pioneer AI-driven quantum optimization algorithms. You'll lead projects with global impact while working in our state-of-the-art San Francisco lab.
Responsibilities
- Architect hybrid quantum-classical AI systems for enterprise-scale applications
- Develop error-correction frameworks for quantum machine learning models
- Lead quantum algorithm optimization for real-time data processing
- Collaborate with hardware teams to design quantum-resistant cybersecurity protocols
- Publish peer-reviewed research in top-tier quantum computing journals
- Mentor junior researchers in quantum machine learning methodologies
- Drive innovation in quantum neural network architectures
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years experience in quantum algorithm development and implementation
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proficiency in high-performance computing and distributed systems
- Published research in quantum AI or quantum information theory
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum)