Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Systems Architect, you'll design next-generation computational frameworks that redefine possibility. Our multidisciplinary team operates in a cutting-edge lab environment with unlimited resources for breakthrough research. This is your opportunity to shape the future of computational intelligence while working with Nobel-caliber minds and state-of-the-art quantum processors.
We offer competitive compensation, flexible hybrid work arrangements, comprehensive benefits including quantum education stipends, and equity participation in our groundbreaking ventures. Your work will directly impact industries from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum neural network architectures for complex problem-solving
- Lead cross-functional teams in developing quantum-classical hybrid computing systems
- Optimize quantum algorithms for real-world AI applications in finance, healthcare, and logistics
- Develop error-correction protocols for fault-tolerant quantum processors
- Create simulation environments for quantum AI model training and validation
- Collaborate with hardware teams to co-design quantum processing units
- Publish research in top-tier journals and present at global technology conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum machine learning frameworks
- Proven track record of developing production-level quantum algorithms
- Deep understanding of quantum error correction and fault-tolerant computing principles
- Strong background in AI/ML architectures with quantum integration experience
- Published research in quantum computing or quantum information theory
- Experience leading technical teams and managing complex R&D projects