Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems to redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that bridge quantum mechanics and machine learning, solving previously unsolvable problems in cryptography, materials science, and climate modeling. Collaborate with Nobel laureates and disrupt industries with breakthrough innovations.
Our state-of-the-art San Francisco campus offers unparalleled resources, including quantum annealing arrays and neuromorphic computing clusters. We provide competitive equity packages, flexible hybrid work, and dedicated R&D budgets for your cutting-edge experiments. Shape the future of human-computer interaction.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational acceleration
- Develop error-correction protocols for quantum machine learning models
- Lead cross-functional teams in prototyping quantum neural networks
- Optimize quantum circuits for real-world enterprise applications
- Author peer-reviewed publications on quantum-computing breakthroughs
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of quantum computing research experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Published work in quantum machine learning or cryptography
- Proficiency in Python/C++ with high-performance computing frameworks
- Deep understanding of quantum error correction techniques
- Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
- Strong background in linear algebra and tensor networks