Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. This role offers a unique opportunity to architect solutions that will redefine computational capabilities in the 2026 era. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical breakthroughs become tangible innovations.
We're seeking a visionary thinker to bridge quantum hardware limitations with AI-driven optimization. Your work will directly influence next-gen systems for climate modeling, drug discovery, and secure communications. This position includes comprehensive benefits: equity packages, flexible hybrid work, and access to our state-of-the-art quantum simulation labs.
Responsibilities
- Design quantum-AI hybrid architectures for complex problem-solving
- Develop error-correction protocols for near-term quantum processors
- Create machine learning models optimized for quantum annealing systems
- Lead cross-functional teams in prototyping quantum neural networks
- Translate theoretical quantum algorithms into practical implementations
- Collaborate with hardware teams to co-design quantum-AI interfaces
- Publish research in IEEE Nature Quantum journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum machine learning frameworks
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Publication record in quantum-AI convergence research
- Expertise in quantum error correction techniques
- Strong background in high-performance computing environments
- Experience with tensor networks and quantum simulation
- Demonstrated ability to lead technical innovation projects