Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration. We're seeking visionary Quantum AI Research Scientists to develop next-gen algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum annealers and neuromorphic computing clusters. This role offers competitive equity packages and opportunities to publish in Nature/Science journals.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical systems
- Author peer-reviewed publications on quantum neural networks
- Optimize quantum algorithms for commercial deployment
- Collaborate with hardware teams to bridge theory-practice gaps
- Secure patents for novel quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of quantum algorithm development experience
- Proficiency in Qiskit, Cirq, or similar quantum SDKs
- Published research in quantum machine learning or quantum information theory
- Deep understanding of quantum error correction techniques
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong track record of translating theoretical models to practical implementations