Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect hybrid algorithms that leverage quantum supremacy and neural networks to solve previously unsolvable challenges in climate modeling, drug discovery, and autonomous systems.
Our team operates at the intersection of quantum physics, machine learning, and edge computing. You'll collaborate with Nobel laureates and MIT fellows in a state-of-the-art lab equipped with D-Wave and IBM quantum processors. This role offers unparalleled opportunities to shape humanity's technological trajectory while receiving competitive compensation and equity.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world applications
- Optimize quantum circuits for machine learning workloads on superconducting processors
- Develop error-correction protocols for large-scale quantum neural networks
- Lead cross-functional teams in deploying quantum models to cloud infrastructure
- Publish breakthrough research in Nature/Science journals and industry whitepapers
- Secure $10M+ in research grants through NSF and DARPA partnerships
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in Qiskit, Cirq, or PennyLane quantum programming frameworks
- Proven track record publishing in top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency with tensor networks and quantum variational algorithms
- Experience with superconducting qubit manipulation and error mitigation
- Strong background in distributed computing (Kubernetes, Ray) for quantum workloads
- Ability to translate complex quantum concepts into stakeholder presentations