Job Description
Join the forefront of technological revolution at FutureTech Innovations as we pioneer the quantum-AI frontier for 2026. We seek a visionary Quantum AI Research Scientist to architect next-generation algorithms that bridge quantum computing with artificial intelligence. This role offers unparalleled opportunity to shape humanity's digital future while working alongside Nobel laureates and Turing Award winners in our state-of-the-art Austin R&D center.
You'll develop hybrid quantum-classical neural networks, optimize quantum machine learning pipelines, and contribute to our moonshot projects in quantum cryptography and autonomous systems. Our compensation package includes equity grants, unlimited PTO, and dedicated quantum lab access. If you're ready to solve problems that don't yet exist in domains ranging from drug discovery to climate modeling, apply now.
Responsibilities
- Design and implement novel quantum machine learning algorithms for NLP and computer vision tasks
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Lead open-source contributions to quantum AI frameworks like PennyLane and Qiskit
- Publish breakthrough research in Nature/Science journals
- Mentor cross-functional teams in quantum algorithm implementation
- Secure patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- Expertise in quantum circuit design and quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Published research in top-tier quantum/AI conferences
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra and probability theory
- Portfolio demonstrating 3+ quantum algorithm implementations