Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary Quantum AI Research Leads to architect breakthrough solutions that will redefine industries by 2026. Our dynamic environment combines cutting-edge quantum computing infrastructure with advanced machine learning frameworks, offering unparalleled opportunities to shape the future of computational intelligence.
As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, optimize neural networks for quantum environments, and lead cross-functional teams in deploying prototype systems. This role offers competitive equity, flexible work arrangements, and dedicated R&D resources to transform theoretical concepts into market-ready innovations.
Responsibilities
- Design and implement novel quantum-AI hybrid algorithms for real-world applications
- Lead cross-functional teams in developing quantum machine learning frameworks
- Conduct independent research on quantum error correction and neural network optimization
- Collaborate with hardware teams to co-design quantum processors compatible with AI workloads
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and establish best practices for quantum-AI integration
- Secure external funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Computer Science, or related field with 5+ years industry experience
- Proven expertise in quantum algorithm design and quantum machine learning
- Strong publication record in top-tier journals (e.g., Nature Quantum, IEEE Quantum)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and AI toolkits
- Experience leading technical teams and managing complex R&D projects
- Demonstrated ability to translate theoretical research into practical applications
- Deep understanding of quantum hardware limitations and error mitigation strategies