Job Description
Shape the future at Nexus Quantum Labs, where quantum computing meets artificial intelligence. We're pioneering next-gen solutions for global challenges in healthcare, climate modeling, and cryptography. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and cutting-edge engineers to develop hybrid quantum-classical algorithms that push computational boundaries. Our Austin campus features state-of-the-art labs, flexible workspaces, and a culture of relentless innovation. Enjoy competitive benefits, equity packages, and the opportunity to publish groundbreaking research in leading journals.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Develop hybrid quantum-classical frameworks for optimization problems
- Collaborate with hardware teams to optimize quantum circuit performance
- Lead research initiatives in quantum neural networks and quantum reinforcement learning
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive cross-functional project execution
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and classical AI
- Strong background in quantum algorithms and complexity theory
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, etc.)
- Proficiency in high-performance computing environments and parallel programming
- Demonstrated ability to translate theoretical concepts into practical implementations