Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine industries. This role combines cutting-edge quantum computing with advanced artificial intelligence to solve humanity's most complex challenges. You'll lead a cross-disciplinary team in developing scalable quantum algorithms, optimizing AI models for quantum processors, and creating frameworks for ethical autonomous systems.
As part of our Innovation Division, you'll work in our state-of-the-art Austin facility where we're building the technological backbone for the next decade. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research. If you're passionate about shaping the future of human-machine interaction and quantum intelligence, this is your calling.
Responsibilities
- Design quantum algorithms optimized for AI model training and inference
- Lead development of hybrid quantum-classical computing architectures
- Create ethical frameworks for autonomous decision-making systems
- Collaborate with quantum hardware engineers to optimize AI-quantum interfaces
- Develop predictive models for technological adoption curves (2026-2030)
- Mentor cross-functional teams in quantum AI implementation strategies
- Secure patents for novel quantum-AI integration methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 5+ years developing production AI systems with quantum computing exposure
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record of publishing in top-tier AI/quantum journals
- Deep understanding of quantum error correction and fault tolerance
- Experience with large-scale distributed AI model deployment
- Strong background in ethics of autonomous systems and quantum governance
- Proficiency in Python, TensorFlow, and quantum circuit design