Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking visionary Quantum AI Researchers to develop groundbreaking solutions that will shape 2026 and beyond. Our state-of-the-art Austin facility offers unparalleled resources for exploring quantum machine learning, neural network optimization, and post-classical computing paradigms. This role offers exceptional growth opportunities in a collaborative environment where your innovations could redefine technological boundaries.
What We Offer:
- Cutting-edge quantum hardware access
- Competitive equity package
- Flexible hybrid work model
- Tuition reimbursement for emerging tech certifications
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead R&D initiatives in quantum neural network optimization
- Collaborate with cross-functional teams to integrate quantum solutions into AI frameworks
- Develop proprietary quantum simulation tools for complex problem-solving
- Publish research in peer-reviewed journals and industry conferences
- Mentor junior researchers in quantum-AI methodologies
- Secure patents for novel quantum computing innovations
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in AI/ML frameworks (PyTorch, TensorFlow)
- Demonstrated track record of peer-reviewed publications
- Experience with superconducting quantum processors or ion traps
- Expertise in error correction techniques for quantum systems
- Ability to translate complex quantum concepts into practical business solutions