Job Description
Join FutureTech Labs at the forefront of technological evolution as we pioneer quantum-AI convergence systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical quantum computing into practical AI applications.
Compensation includes competitive equity, comprehensive benefits, and a discretionary research budget. Collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams to integrate quantum processors with classical AI frameworks
- Develop error-correction protocols for quantum neural networks
- Author peer-reviewed publications and patent novel quantum-AI methodologies
- Prototype quantum-optimized solutions for healthcare, logistics, and climate modeling
- Mentor junior researchers and establish quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
- Published work in quantum machine learning or top-tier AI conferences (NeurIPS, ICML)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong background in linear algebra, statistical mechanics, and information theory
- Track record of translating theoretical concepts into functional prototypes