Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Lead, you'll architect next-generation algorithms that leverage quantum entanglement for machine learning breakthroughs. Our Austin campus offers state-of-the-art labs and a culture where visionary minds collaborate to solve humanity's most complex challenges. If you're driven to transform theoretical physics into practical applications, this is your moment.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams of quantum physicists and AI engineers
- Develop error-correction protocols for quantum-AI hybrid systems
- Collaborate with academic institutions on quantum algorithm optimization
- Translate quantum computing concepts into scalable enterprise solutions
- Secure research funding through NSF and DoE grant proposals
- Present breakthrough findings at global quantum technology symposia
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Published research in quantum machine learning or quantum algorithms
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault tolerance
- Proven track record leading technical teams in R&D environments
- Expertise in AI/ML frameworks (TensorFlow, PyTorch) and classical computing
- Strong background in statistical mechanics and quantum information theory