Job Description
Join QuantumLeap Systems at the forefront of 2026's technological revolution as an AI Infrastructure Engineer. We're pioneering quantum-entangled neural networks and autonomous system architectures that will redefine human-computer interaction. This role demands a visionary who can architect next-generation AI infrastructure while optimizing for quantum coherence and energy efficiency. You'll collaborate with Nobel laureates and disrupt the boundaries of machine learning scalability. Our Austin hub features a zero-gravity innovation lab and unlimited R&D budget for groundbreaking projects.
Responsibilities
- Design quantum-resistant AI infrastructure supporting exascale neural networks
- Implement federated learning frameworks across 50,000+ edge devices
- Optimize tensor processing pipelines for sub-1ms latency requirements
- Architect autonomous infrastructure self-healing systems with predictive AI
- Lead cross-functional teams in deploying neuromorphic computing solutions
- Develop real-time anomaly detection for quantum-entangled data streams
- Drive sustainability initiatives reducing AI carbon footprint by 40%
Qualifications
- PhD in Quantum Computing or equivalent with 5+ years experience
- Expertise in TensorFlow/PyTorch at petabyte-scale deployments
- Proficiency in Rust for low-latency quantum algorithm implementation
- Published research in Nature/Science on distributed ML systems
- Certification in AWS Quantum Technologies or equivalent
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Track record of reducing AI inference costs by 60%+