Job Description
Join NexusLabs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum mechanics with artificial intelligence to solve previously impossible challenges in cryptography, drug discovery, and climate modeling.
Our interdisciplinary team operates from our state-of-the-art San Francisco lab, collaborating with MIT and CERN researchers. We offer unparalleled resources, including access to quantum processors and a $50M R&D budget. This role shapes humanity's technological trajectory while offering exceptional growth and impact.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging Qiskit and TensorFlow Quantum
- Develop error-corrected quantum circuits for AI model acceleration
- Collaborate with physicists to optimize quantum-classical hybrid architectures
- Publish breakthrough research in Nature/Science journals
- Mentor junior researchers in quantum computing principles
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on quantum programming (Qiskit, Cirq, or Q#)
- Deep understanding of quantum error correction protocols
- Published research in quantum machine learning or quantum cryptography
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with D-Wave or IBM Q quantum processors
- Strong background in linear algebra and quantum mechanics