Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough systems that redefine computational boundaries. Our multidisciplinary team operates at the intersection of quantum mechanics, machine learning, and computational neuroscience in a state-of-the-art facility overlooking the San Francisco Bay.
We offer unparalleled resources, including 128-qubit quantum processors and exascale computing clusters. This role represents a unique opportunity to shape the next paradigm of human-machine symbiosis while collaborating with Nobel laureates and Turing Award recipients.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical machine learning frameworks
- Lead cross-functional research teams in experimental quantum computing validation
- Author breakthrough publications in Nature/Science journals
- Architect fault-tolerant quantum neural networks
- Collaborate with hardware teams to co-design quantum processors
- Secure $10M+ in government/industry research grants
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years research experience
- Published work in top-tier quantum/AI conferences (NeurIPS, QIP, etc.)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in high-performance computing (HPC) environments
- Strong background in tensor networks and quantum error correction
- Experience securing federal research grants (NSF, DARPA, etc.)
- Ability to translate theoretical concepts into practical implementations