Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI hybrid systems that will redefine 2026's digital landscape. We're seeking visionary engineers to architect next-generation computational frameworks that merge quantum supremacy with advanced neural networks. In this role, you'll collaborate with Nobel laureates and industry disruptors in our Austin Innovation Hub, leveraging our $500M R&D fund to build scalable quantum algorithms for climate modeling, drug discovery, and autonomous systems. Your work will directly shape how humanity solves 21st-century grand challenges through exponential technological leaps.
Responsibilities
- Design and implement quantum machine learning pipelines for real-world optimization problems
- Develop hybrid quantum-classical algorithms targeting 10,000+ qubit systems
- Lead cross-functional teams in prototyping quantum-AI integration architectures
- Author peer-reviewed publications on quantum supremacy breakthroughs
- Drive innovation in error correction techniques for fault-tolerant quantum computing
- Collaborate with government agencies on quantum security standardization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum circuit design and gate-level optimization
- Proficiency with Qiskit, Cirq, or quantum computing SDKs
- Published research in Nature/Science on quantum information theory
- Mastery of Python/C++ for high-performance quantum simulations
- Demonstrated experience with quantum error correction protocols
- Deep understanding of quantum machine learning frameworks