Job Description
Shape the future at Nexus Quantum Labs, where we're building the quantum-AI frontier for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to pioneer breakthroughs at the intersection of quantum computing, artificial intelligence, and next-generation machine learning. Join our elite team in Austin's innovation hub and develop scalable quantum neural networks that will redefine computational possibilities.
Why Nexus Quantum Labs?
Cutting-edge research facilities • Collaborative cross-disciplinary teams • Industry-leading quantum hardware access • Comprehensive professional development • Competitive equity packages • Flexible hybrid work model.
Responsibilities
- Design and implement quantum algorithms for advanced AI applications
- Develop hybrid quantum-classical machine learning models for real-world deployment
- Collaborate with physicists and software engineers to optimize quantum circuit performance
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Publish findings in top-tier journals and present at international conferences
- Contribute to open-source quantum AI frameworks and tools
- Mentor junior researchers and foster a culture of innovation
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field (MS with exceptional experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch/TensorFlow) and high-performance computing
- Strong background in quantum mechanics and linear algebra
- Proven track record of peer-reviewed publications or open-source contributions
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
- Excellent problem-solving skills and ability to work in interdisciplinary teams