Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. Our multidisciplinary team is developing next-gen algorithms that will redefine computational boundaries by 2026. This role offers unparalleled opportunities to shape the future of quantum machine learning while collaborating with Nobel laureates and industry pioneers. We provide competitive equity packages, flexible work arrangements, and access to state-of-the-art quantum hardware.
Responsibilities
- Design and implement quantum neural networks for AI optimization
- Develop hybrid quantum-classical algorithms for real-world problem solving
- Lead research initiatives in quantum error correction and fault tolerance
- Collaborate with hardware teams to optimize quantum circuit architectures
- Publish breakthrough research in top-tier scientific journals
- Mentor junior researchers in quantum computing methodologies
- Secure patents for proprietary quantum AI innovations
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming languages (Qiskit, Cirq, Q#)
- Deep understanding of quantum algorithms and machine learning frameworks
- Publication record in quantum computing or AI research
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Strong background in linear algebra, probability theory, and information theory