Job Description
Join FutureTech Innovations at the forefront of technological evolution as we pioneer the next generation of quantum AI systems. As a Quantum AI Research Scientist, you'll collaborate with world-class engineers to develop groundbreaking algorithms that redefine computational boundaries. Our Austin-based hub offers state-of-the-art labs and unparalleled resources to transform theoretical concepts into real-world solutions. This is your opportunity to shape the future of artificial intelligence while working in an environment that values innovation, creativity, and intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
- Conduct advanced research in quantum error correction and fault-tolerant computing
- Optimize quantum neural networks for practical enterprise applications
- Publish high-impact research in leading scientific journals and conferences
- Collaborate with hardware teams to integrate quantum processors with AI systems
- Secure intellectual property through patents and technical disclosures
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in deep learning, neural networks, and statistical modeling
- Published research in quantum computing or AI at top-tier conferences
- Expertise in Python, TensorFlow, and high-performance computing environments
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)