Job Description
Shape the technological landscape of 2026 as our lead AI Infrastructure Architect. Join QuantumLeap Labs at the forefront of quantum-AI convergence to design next-generation systems that will redefine computing paradigms. You'll architect hybrid quantum-classical infrastructures that power breakthrough AI applications while maintaining ethical governance frameworks.
We offer unparalleled opportunities to work with Nobel Prize-winning researchers and deploy solutions that impact global sustainability initiatives. Our Austin campus features state-of-the-art quantum annealing labs and collaborative innovation spaces where your expertise will directly influence the next decade of technological evolution.
Responsibilities
- Design scalable quantum-AI hybrid architectures for 2026-era computational demands
- Lead implementation of fault-tolerant quantum computing interfaces with classical ML systems
- Develop ethical AI governance frameworks compliant with emerging 2026 regulatory standards
- Optimize energy-efficient distributed computing models for large-scale AI training
- Collaborate with quantum hardware teams to co-design next-generation annealing protocols
- Architect secure data pipelines for cross-domain AI model deployment
- Lead technical strategy for quantum-resistant cryptography integration
Qualifications
- PhD in Quantum Computing or equivalent 10+ years in advanced AI infrastructure
- Expertise in quantum circuit design and quantum error correction algorithms
- Proven track record architecting hybrid quantum-classical systems
- Deep knowledge of NISQ-era limitations and 2026 quantum roadmap projections
- Experience with distributed ML frameworks (PyTorch/TensorFlow) and quantum SDKs
- Published research in quantum machine learning or top-tier conference proceedings
- Certification in quantum security protocols (e.g., QKD implementation)