Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Lead, you'll architect next-generation algorithms that redefine computational boundaries in 2026 and beyond. Our interdisciplinary team operates at the intersection of physics, machine learning, and cryptography to solve humanity's most complex challenges. This role offers unparalleled access to our quantum annealing infrastructure and collaborative partnerships with NASA and MIT. If you're driven by curiosity and want to shape the future of computational intelligence, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Publish groundbreaking research in peer-reviewed journals and industry conferences
- Develop ethical frameworks for quantum AI deployment and bias mitigation
- Secure funding through NSF and DARPA grants for advanced quantum research initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum algorithms, Qiskit, and quantum error correction techniques
- Proven track record of publishing in Nature/Science journals or top-tier conferences
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with high-performance computing clusters and parallel programming
- Demonstrated ability to secure federal research grants
- Knowledge of quantum cryptography and post-quantum security protocols