Job Description
Join NeuroTech Innovations at the forefront of quantum-computing AI development. As a 2026 Quantum AI Architect, you'll design next-generation neural networks that leverage quantum mechanics to solve previously impossible computational challenges. Our team operates at the intersection of theoretical physics and machine learning, creating systems that redefine artificial intelligence boundaries.
We offer a collaborative environment where your expertise in quantum algorithms will directly impact breakthroughs in cryptography, drug discovery, and autonomous systems. This role includes competitive equity packages, flexible work arrangements, and access to our state-of-the-art quantum lab.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era applications
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum algorithms for real-time AI processing
- Lead cross-disciplinary research teams in quantum AI innovation
- Create secure quantum-resistant encryption protocols
- Translate theoretical quantum computing concepts into production-ready solutions
- Collaborate with hardware teams to optimize quantum processor utilization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning systems
- Expertise in Python, Qiskit, and quantum circuit optimization
- Strong background in advanced mathematics (linear algebra, probability, topology)
- Published research in quantum AI or related fields
- Experience with GPU/TPU acceleration for quantum simulations
- Knowledge of quantum error correction and fault-tolerant computing
- Proven ability to lead technical research initiatives