Job Description
Join NexusLabs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This is your opportunity to shape the future of computational intelligence in a role where theoretical physics meets cutting-edge machine learning.
Our interdisciplinary team operates at the intersection of quantum mechanics, deep learning, and computational neuroscience. You'll develop novel algorithms that leverage quantum properties to exponentially accelerate AI training, design fault-tolerant quantum neural networks, and contribute to breakthroughs in fields ranging from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for exponential computational speedup
- Develop hybrid quantum-classical neural architectures for real-world applications
- Lead research on quantum error correction in deep learning systems
- Collaborate with hardware teams to optimize quantum-AI interface protocols
- Author breakthrough publications in top-tier journals and conferences
- Secure and manage research funding from federal and private sources
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in deep learning architectures and neural network optimization
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability theory, and statistical mechanics
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)