Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer systems for 2026 and beyond. We seek a visionary Quantum AI Systems Architect to design next-generation computational frameworks that will redefine industry standards. In this pivotal role, you'll architect hybrid quantum-classical systems, optimize neural network topologies, and develop scalable AI solutions for autonomous systems, biotech simulations, and climate modeling. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab, where your innovations will directly shape humanity's technological trajectory.
Our culture thrives on intellectual curiosity and rapid prototyping. You'll receive equity grants, unlimited R&D budget, and access to quantum computing resources at partner institutions like MIT and CERN. This isn't just a job—it's your chance to architect the future.
Responsibilities
- Design hybrid quantum-classical AI architectures for 2026-era applications
- Develop fault-tolerant quantum algorithms for machine learning optimization
- Lead cross-functional teams in prototyping neural-symbolic AI systems
- Architect scalable frameworks for autonomous decision-making systems
- Research and implement quantum-resistant cybersecurity protocols
- Optimize computational efficiency for exascale biotech simulations
- Collaborate with climate scientists on AI-driven climate modeling solutions
Qualifications
- PhD in Quantum Computing, AI Systems, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published research in top-tier journals (Nature, Science, IEEE) on quantum AI
- Proficiency in hybrid system development using TensorFlow Quantum and PyTorch
- Experience with fault-tolerant quantum error correction codes (surface codes, color codes)
- Track record of deploying AI systems at scale (10M+ users or exascale workloads)
- Deep understanding of quantum hardware constraints from major providers (IBM, Rigetti, IonQ)