Job Description
Join the frontier of human innovation at Nexus Future Labs. We're pioneering the next wave of quantum-AI convergence, seeking visionary researchers to build the computational foundations for 2026 and beyond. Our multidisciplinary team operates at the intersection of quantum mechanics, advanced AI, and neuromorphic engineering to solve humanity's most complex challenges.
This role offers unparalleled resources, including access to our 128-qubit quantum processors and exclusive partnerships with leading academic institutions. You'll collaborate with Nobel laureates and industry pioneers in an environment that values audacious thinking and relentless experimentation.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization and machine learning acceleration
- Lead cross-functional projects integrating quantum computing with neural network architectures
- Develop error-correction protocols for scalable quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals and industry whitepapers
- mentor junior researchers and drive technical strategy for 2026 product roadmap
- Collaborate with hardware teams to co-design next-generation quantum processors
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum neural networks
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum circuit optimization
- Strong background in quantum error correction and fault-tolerant computing
- Experience with high-performance computing architectures and parallel programming
- Demonstrated ability to lead technical initiatives and publish peer-reviewed work