Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Architects to design and implement groundbreaking solutions that will redefine computing by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical possibilities into tangible innovations.
As a key member of our R&D division, you'll collaborate with Nobel laureates, industry disruptors, and cutting-edge researchers to develop scalable quantum neural networks. We offer competitive equity packages, flexible work arrangements, and dedicated quantum lab access for prototyping breakthrough applications.
Responsibilities
- Design and implement quantum-AI hybrid architectures for next-gen computational systems
- Lead research initiatives in quantum machine learning algorithms and error correction
- Develop scalable frameworks for quantum neural networks with classical AI integration
- Collaborate with hardware teams to optimize quantum processor compatibility
- Publish breakthrough research in peer-reviewed quantum computing journals
- Drive strategic partnerships with academic institutions and quantum hardware providers
- Mentor junior researchers in quantum programming and AI model optimization
Qualifications
- PhD in Quantum Computing, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proficiency in advanced AI frameworks (TensorFlow Quantum, PennyLane) and classical ML
- Published research in quantum machine learning or quantum error correction
- Strong background in distributed computing systems and high-performance computing
- Demonstrated experience leading cross-functional technical teams
- Deep understanding of NISQ-era limitations and fault-tolerant quantum computing principles