Job Description
Join the forefront of technological revolution at Nexus Quantum Dynamics, where we're pioneering the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms at the intersection of quantum computing and artificial intelligence, shaping how humanity solves previously unsolvable challenges.
We offer competitive compensation, cutting-edge lab resources, and the opportunity to publish in top-tier journals. Our Austin campus features state-of-the-art quantum hardware and a vibrant innovation ecosystem.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop novel quantum neural network architectures for pattern recognition
- Collaborate with hardware engineers to optimize quantum-AI system performance
- Lead cross-functional projects integrating quantum computing with AI frameworks
- Publish research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in AI/ML and classical computing architectures
- Proven track record of publishing high-impact research papers
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
- Excellent problem-solving skills and ability to work in interdisciplinary teams