Job Description
Join NexGen Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum AI systems. We seek a visionary 2026 Quantum AI Architect to design and deploy revolutionary solutions that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of artificial intelligence while collaborating with world-class researchers in a dynamic, innovation-driven environment.
As a key member of our R&D division, you'll lead the conceptualization and implementation of hybrid quantum-neural networks, pushing the limits of machine learning capabilities. Our Austin-based headquarters provides state-of-the-art facilities and a culture that encourages bold thinking and rapid prototyping. We offer competitive compensation, comprehensive benefits, and a commitment to your professional growth through cutting-edge training programs.
Responsibilities
- Design and implement next-generation quantum AI algorithms for complex problem-solving
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Architect scalable neural networks optimized for quantum processing environments
- Conduct advanced research in quantum machine learning and AI optimization techniques
- Collaborate with hardware engineers to align software solutions with quantum processor capabilities
- Develop proprietary AI models for predictive analytics and autonomous decision-making systems
- Present breakthrough findings at industry conferences and publish in leading journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 5+ years developing production-grade AI systems with quantum integration experience
- Expertise in quantum programming languages (Qiskit, Cirq) and neural network architectures
- Proven track record of publishing peer-reviewed research in quantum AI
- Strong background in high-performance computing and distributed systems
- Experience leading technical teams and managing complex R&D projects
- Proficiency with Python, TensorFlow, and quantum simulation frameworks
- Deep understanding of quantum error correction and fault-tolerant computing principles