Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary Quantum AI Architect to pioneer next-gen systems that will define the 2026 digital landscape. You'll design hybrid quantum-classical frameworks that push the boundaries of computational intelligence while mentoring a cross-disciplinary team of researchers and engineers.
Our Austin innovation hub offers state-of-the-art quantum hardware resources and collaborative partnerships with leading academic institutions. You'll develop proprietary algorithms for optimization problems currently unsolvable by classical systems, with direct impact on fields ranging from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum machine learning architectures for enterprise-scale applications
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Develop hybrid quantum-classical optimization frameworks for real-world business problems
- Collaborate with hardware engineers to translate theoretical models into deployable solutions
- Establish quantum security protocols for next-gen cryptographic systems
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and drive technical excellence across the team
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and algorithm design
- Proven track record publishing in Nature/Science or equivalent tier journals
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware integration and cloud quantum platforms
- Demonstrated ability to secure federal research grants or venture funding
- Excellent technical communication skills for stakeholder presentations
- Portfolio of open-source quantum contributions or commercial deployments