Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that will redefine computational boundaries. You'll work in our state-of-the-art facility with industry-leading quantum hardware and collaborate with world-class teams pushing the limits of machine learning and quantum mechanics.
This role offers unparalleled opportunities to publish groundbreaking research, contribute to patent innovations, and shape the future of human-computer interaction. Our culture emphasizes intellectual curiosity, cross-disciplinary collaboration, and rapid prototyping in a startup environment backed by institutional funding.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical neural network architectures
- Conduct advanced simulations on quantum hardware platforms (IBM Quantum, Rigetti)
- Lead cross-functional projects with AI engineers and quantum physicists
- Author peer-reviewed publications and technical whitepapers
- Drive innovation in quantum error correction techniques
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum algorithms or quantum machine learning
- Proficiency in quantum circuit design and optimization techniques
- Strong background in linear algebra, probability, and information theory
- Experience with quantum hardware simulation and real device testing