Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking a visionary Quantum AI Systems Engineer to architect groundbreaking solutions that will redefine industries by 2026. This role demands a blend of quantum computing expertise, machine learning mastery, and systems innovation to build scalable, fault-tolerant platforms for autonomous decision-making.
You'll collaborate with Nobel laureates and industry disruptors in our Austin R&D hub, working with cutting-edge quantum hardware and neural networks. We offer equity, flexible work arrangements, and a budget for continuous learning in emerging fields. If you're passionate about solving humanity's most complex challenges through computational innovation, this is your calling.
Responsibilities
- Design and implement hybrid quantum-classical AI systems for real-time optimization
- Develop error-corrected quantum algorithms to accelerate machine learning workflows
- Architect fault-tolerant quantum neural networks for predictive analytics
- Lead cross-functional teams in prototyping quantum-AI applications for healthcare and logistics
- Research and integrate emerging quantum technologies (e.g., topological qubits) into production systems
- Optimize quantum circuit performance for cloud-based quantum computing platforms
- Document system architectures and publish breakthrough research in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record deploying AI models at scale (>10M daily predictions)
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in distributed systems and high-performance computing
- Published research in quantum computing or top-tier AI conferences