Job Description
Join FutureTech Innovations at the forefront of technological revolution as we pioneer solutions for 2026 and beyond. We seek an AI & Quantum Computing Researcher to develop breakthrough algorithms that will redefine industry standards. Collaborate with Nobel laureates and industry disruptors in our Austin-based quantum lab, where your work directly impacts autonomous systems, climate modeling, and next-gen cryptography.
Our team operates at the intersection of theoretical physics and practical AI implementation, offering unparalleled resources including access to 128-qubit processors and petabyte-scale datasets. This role provides unique opportunities to publish research in Nature/Science journals and contribute to patent portfolios valued at over $2B.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead research initiatives in quantum neural networks and hybrid classical-quantum systems
- Develop novel AI frameworks optimized for near-term quantum hardware constraints
- Collaborate with hardware teams to co-design quantum processors for AI acceleration
- Translate theoretical quantum computing concepts into deployable AI solutions
- Publish high-impact research in top-tier journals and present at major conferences
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent research experience)
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python ML frameworks
- Published research in quantum machine learning or quantum information theory
- Experience with NISQ-era hardware constraints and error mitigation techniques
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and computational complexity