Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Lead, you'll architect next-gen algorithms that redefine computational boundaries and shape our collective future.
Our Austin-based innovation hub offers unparalleled resources and collaborative freedom. You'll lead a multidisciplinary team of quantum physicists, ML engineers, and computational biologists to develop breakthrough applications in cryptography, materials science, and climate modeling. This is more than a role—it's your chance to build the technologies that will define the next decade.
Responsibilities
- Design and implement novel quantum machine learning frameworks for 2026-era applications
- Lead cross-functional research teams in developing quantum-resistant encryption protocols
- Collaborate with academic institutions to publish breakthrough research in top-tier journals
- Translate theoretical quantum algorithms into scalable commercial solutions
- Drive innovation in quantum neural networks for predictive modeling
- Secure $5M+ in research grants for experimental quantum-AI initiatives
- Mentor PhD researchers and quantum computing specialists
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
- Proven track record publishing in Nature/Science journals on quantum algorithms
- Expertise in quantum circuit design using Qiskit or Cirq frameworks
- Strong background in machine learning (TensorFlow/PyTorch) and quantum annealing
- Experience leading R&D teams with $1M+ budgets
- Deep understanding of quantum error correction and fault-tolerant systems
- Patents or publications in quantum-AI integration
- US citizenship required for government contract compliance