Job Description
Shape the future of human-machine intelligence at Nexus Quantum Labs. We're pioneering the next frontier of technology where quantum computing meets artificial intelligence. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that leverage quantum supremacy to solve previously unsolvable problems in cryptography, materials science, and climate modeling. Join our interdisciplinary team of Nobel laureates and Turing Award winners in a mission-driven environment where your innovations could redefine humanity's relationship with technology.
We offer competitive equity packages, unlimited R&D budgets, and access to our state-of-the-art quantum annealing facilities. This isn't just research—it's about creating the computational backbone for 2026's most critical breakthroughs. If you're ready to push beyond classical computing boundaries, we want to hear from you.
Responsibilities
- Design and implement quantum machine learning algorithms for pattern recognition optimization
- Develop hybrid quantum-classical neural networks for real-time data processing
- Lead breakthrough research in quantum error correction for scalable AI systems
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish peer-reviewed research in Nature/Science journals and present at IEEE Quantum Week
- Mentor junior researchers in quantum computing methodologies
- Secure federal grants and industry partnerships for quantum AI initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
- Proficiency with quantum frameworks (Qiskit, Cirq, PennyLane) and Python/C++
- Published research in quantum machine learning or quantum information theory
- Deep understanding of tensor networks and quantum entanglement principles
- Experience with high-performance computing clusters and GPU acceleration
- Strong track record of translating theoretical concepts into practical implementations