Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. Our Austin-based innovation hub is seeking a visionary Quantum AI Research Engineer to architect the next generation of computational systems. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop hybrid quantum neural networks that will redefine machine learning paradigms. We offer unparalleled resources including our proprietary 512-qubit quantum processor and access to our exascale computing cluster. This is your opportunity to shape the technological landscape of 2026 and beyond.
What You'll Experience:
- Cutting-edge research environment with $50M annual R&D budget
- Equity participation in pre-IPO tech unicorn
- Patent bonus program with $250K+ potential
- Flexible hybrid work with global research retreats
Responsibilities
- Design and implement quantum algorithms for AI optimization
- Develop hybrid quantum-classical machine learning frameworks
- Lead research in quantum neural network architectures
- Collaborate with hardware teams to co-design quantum processors
- Author peer-reviewed publications and white papers
- Mentor cross-functional teams on quantum AI integration
- Secure government and industry research grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum algorithms or quantum machine learning
- Experience with superconducting qubit systems or ion traps
- Strong background in linear algebra and quantum information theory
- Track record of securing research funding (NSF, DOE, DARPA)