Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer next-gen computing paradigms that will redefine artificial intelligence. Our multidisciplinary team operates at the intersection of quantum mechanics, machine learning, and computational neuroscience to solve humanity's most complex challenges.
What you'll achieve: Design and implement quantum neural networks, develop hybrid quantum-classical algorithms, and publish breakthrough research in top-tier journals. You'll collaborate with Nobel laureates and industry disruptors to create practical quantum solutions for healthcare, climate modeling, and autonomous systems.
Why Nexus Quantum? We offer competitive equity packages, unlimited R&D budgets, and access to our proprietary 1000-qubit quantum processors. Our state-of-the-art facility includes a cryogenic computing lab and neuro-quantum integration suites.
Responsibilities
- Architect and deploy quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in developing error-corrected quantum algorithms
- Publish 3+ peer-reviewed papers annually in Nature/Science journals
- Optimize quantum-classical hybrid systems for enterprise scalability
- Secure $5M+ in government/private research grants annually
- Mentor PhD candidates in quantum-AI convergence projects
- Patent novel quantum computing methodologies with commercial potential
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Science
- 5+ years of experience with quantum circuit design and error correction
- Expertise in Python/C++ with quantum libraries (Qiskit, Cirq)
- Proven track record publishing in top-tier quantum/AI conferences
- Strong background in tensor networks and quantum information theory
- Experience securing federal research grants (NSF, DARPA)
- Knowledge of quantum hardware architecture (superconducting, photonic)
- Fluency in distributed quantum computing protocols