Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our Austin-based research center is assembling an elite team to develop breakthrough applications in computational biology, autonomous systems, and predictive modeling for 2026-era challenges. This role offers unparalleled access to cutting-edge quantum hardware and AI infrastructure in a collaborative, future-focused environment.
We're seeking visionaries who thrive at the intersection of theoretical physics and machine learning to solve problems previously deemed impossible. As part of our core innovation team, you'll contribute to projects that will redefine technological paradigms and create value across global industries.
Responsibilities
- Design and implement quantum algorithms for AI model optimization
- Lead research on quantum neural networks and hybrid quantum-classical architectures
- Develop predictive models for complex systems using quantum-enhanced machine learning
- Collaborate with hardware engineers to optimize quantum-AI integration
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers in quantum computing methodologies
- Secure research partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum programming languages
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability, and statistical modeling
- Experience with quantum computing platforms (IBM Q, Rigetti, D-Wave)
- Proven ability to translate theoretical concepts into practical implementations