Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. This role offers unparalleled access to our state-of-the-art quantum lab and collaboration with Nobel Prize-winning mentors.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Lead research initiatives in quantum neural networks for 2026 applications
- Develop error-correction protocols for quantum AI systems
- Collaborate with hardware teams on quantum processor optimization
- Publish groundbreaking research in top-tier journals and conferences
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 3+ years of experience in quantum algorithms or quantum machine learning
- Proficiency in Qiskit, Cirq, or similar quantum frameworks
- Deep understanding of tensor networks and quantum information theory
- Published research in quantum machine learning or quantum complexity
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing