Job Description
Join NeuroFuture Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As our Quantum AI Research Scientist, you'll architect next-generation algorithms that bridge quantum mechanics and neural networks, solving previously unsolvable challenges in cryptography, material science, and autonomous systems. Our Austin R&D hub offers unparalleled resources and a collaborative culture where your breakthroughs will shape humanity's digital future.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams to develop hybrid quantum-classical computing frameworks
- Author peer-reviewed publications on quantum neural network architectures
- Collaborate with hardware engineers to optimize quantum circuit performance
- Secure patents for novel quantum-AI methodologies
- Present research findings at international conferences and industry summits
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate complex theoretical concepts into practical implementations