Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI integration. Our interdisciplinary team is redefining computational boundaries for 2026 and beyond. This role offers unparalleled opportunity to shape the future of machine learning, quantum algorithms, and autonomous systems in a collaborative, cutting-edge environment.
Responsibilities
- Design and implement quantum-enhanced neural architectures for next-gen AI models
- Lead research in quantum machine learning algorithms and error mitigation protocols
- Collaborate with hardware teams to optimize quantum-classical hybrid computing stacks
- Develop predictive frameworks for quantum computational advantages in 2026+ applications
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers in quantum AI methodologies
- Secure competitive research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency with Python, TensorFlow/PyTorch, and quantum SDKs (Qiskit, Cirq)
- Published research in quantum AI or related quantum information science
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with high-performance computing and distributed systems
- Strong background in statistical modeling and algorithm optimization