Job Description
Join Nexus Innovations at the forefront of the 2026 technological revolution! We're seeking a visionary Quantum AI Systems Architect to design and deploy next-generation AI systems that will redefine industries. As we approach the quantum computing breakthrough horizon, this role bridges cutting-edge quantum algorithms with practical machine learning applications. You'll architect hybrid quantum-classical systems for Fortune 500 clients, transforming complex data challenges into breakthrough solutions. Our culture thrives on innovation, with 25% time dedicated to R&D and patent development. Enjoy state-of-the-art labs, flexible hybrid work, and comprehensive benefits including equity in our pre-IPO stage.
This position reports directly to our CTO and leads a team of 12 multidisciplinary researchers. You'll shape our 2026 product roadmap while contributing to open-source quantum AI frameworks. Our San Francisco hub offers stunning bay views, wellness facilities, and weekly innovation symposia with industry pioneers.
Responsibilities
- Design scalable quantum AI architectures leveraging IBM Quantum, D-Wave, and emerging qubit technologies
- Develop hybrid quantum-classical ML pipelines for real-time anomaly detection in financial systems
- Lead implementation of quantum-optimized neural networks with 1000+ qubit coherence
- Collaborate with cross-functional teams to translate business requirements into quantum AI solutions
- Drive patent development for novel quantum algorithms with 3+ annual submissions
- Mentor junior researchers while publishing in top-tier journals like Nature Quantum
- Ensure system security through quantum-resistant encryption protocols
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 8+ years industry experience
- Expertise in quantum programming languages (Qiskit, Q#, Cirq) and quantum error correction
- Proven track record deploying production-grade AI systems with 99.99% uptime
- Deep understanding of quantum supremacy benchmarks and NISQ-era constraints
- Strong background in distributed computing frameworks (TensorFlow Quantum, PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Experience leading cross-continental R&D teams with Agile/Sc methodologies