Job Description
Join Nexus Systems Inc. at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Engineer to architect next-generation systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape humanity's digital future while working with world-class researchers in our state-of-the-art Austin innovation lab.
As part of our elite Future Technologies Division, you'll develop hybrid quantum-neural networks, design error-corrected quantum algorithms, and contribute to breakthroughs in autonomous systems and predictive analytics. We provide comprehensive benefits including equity participation, flexible work arrangements, and continuous learning stipends to empower your professional growth.
Responsibilities
- Design and implement quantum machine learning architectures for 2026-era computational challenges
- Develop error-correction protocols for large-scale quantum systems
- Create hybrid quantum-classical algorithms for real-time data processing
- Lead cross-functional research initiatives with physics, materials science, and AI teams
- Author peer-reviewed publications and patent novel quantum computing methodologies
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computational Mathematics (or equivalent experience)
- Expertise in quantum algorithms, circuit design, and fault-tolerant systems
- Proficiency in Python, Qiskit, Cirq, and quantum simulation frameworks
- Strong background in machine learning and neural network optimization
- Demonstrated research output with 3+ peer-reviewed publications
- Experience with high-performance computing and distributed quantum systems
- Exceptional problem-solving skills for complex multi-variable systems