Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we architect the AI infrastructure for 2026. This pivotal role demands a visionary leader to design next-generation distributed computing systems that will power humanity's most ambitious AI breakthroughs. You'll collaborate with Nobel laureates and industry pioneers to build scalable, quantum-resistant architectures capable of processing exascale workloads while maintaining ethical AI governance.
Our Austin innovation hub offers unparalleled resources including a 10,000-qantum lab and $2B R&D budget. We're seeking a revolutionary thinker who can transform theoretical AI scalability challenges into deployable solutions that will define the next decade of technological progress.
Responsibilities
- Design quantum-resistant distributed computing architectures for 2026-era AI workloads
- Lead cross-continental teams in implementing federated learning networks across 15+ data centers
- Develop ethical AI governance frameworks aligned with 2026 global regulatory standards
- Architect energy-efficient neural processing systems achieving 1000x efficiency gains
- Create zero-trust security protocols for AI model training pipelines
- Integrate neuromorphic computing with traditional GPU/TPU infrastructure
- Develop real-time anomaly detection systems for AI model drift prevention
Qualifications
- PhD in Computer Science or equivalent with 8+ years in distributed systems
- Expertise in quantum-resistant cryptography and post-quantum algorithms
- Proven track record of building petascale AI infrastructure at FAANG companies
- Deep understanding of neuromorphic computing and photonic processing
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Certification in quantum computing (IBM Qiskit, Microsoft Quantum)
- Experience with federated learning frameworks and differential privacy
- Demonstrated ability to lead global engineering teams across 3+ time zones