Job Description
Join Nexus Labs at the frontier of computational intelligence as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the technological landscape of 2026 by developing hybrid quantum-neural systems, optimizing quantum machine learning algorithms, and contributing to breakthroughs in drug discovery and climate modeling.
Our multidisciplinary team collaborates with MIT and Stanford researchers in state-of-the-art facilities. You'll access proprietary quantum simulators and work alongside Nobel laureate advisors while contributing to open-source quantum AI frameworks. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural network architectures
- Conduct research in quantum error correction for AI applications
- Collaborate on quantum simulation projects for drug discovery
- Publish research in Nature/Science journals and top AI conferences
- Mentor junior researchers in quantum computing principles
- Translate theoretical models into functional quantum software prototypes
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Strong publication record in quantum machine learning or related domains
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum mechanics and information theory
- Experience with NISQ-era hardware limitations and mitigation strategies
- Proven ability to lead cross-functional technical projects