Job Description
Shape the future of technology at Nexus Dynamics, where we're pioneering quantum-AI fusion systems for 2026 breakthrough applications. As a Quantum AI Research Engineer, you'll architect hybrid quantum-classical algorithms that solve previously impossible computational challenges. Join our elite team at our Austin R&D hub to develop next-gen autonomous systems, molecular modeling platforms, and cryptographic frameworks. We offer unparalleled resources, collaborative innovation labs, and equity in a company valued at $2B+. This is your chance to redefine human progress.
Responsibilities
- Design and implement quantum neural networks for real-world optimization problems
- Develop hybrid quantum-classical machine learning pipelines for predictive analytics
- Lead prototyping of quantum-resistant cryptography systems
- Collaborate with Nobel laureates on quantum error correction methodologies
- Publish breakthrough research in Nature/Science journals
- Mentor PhD interns in quantum algorithm development
- Translate theoretical models into deployable enterprise solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years experience with quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in tensor networks and quantum simulation frameworks
- Published research in top-tier quantum/AI conferences
- Proficiency in Python/C++ with high-performance computing optimization
- Deep understanding of quantum decoherence mitigation techniques
- Track record of commercializing quantum research