Job Description
Join QuantumLeap Systems as we redefine the technological landscape for 2026. We're seeking an AI/ML Infrastructure Architect to design and implement next-generation AI frameworks that will power tomorrow's intelligent systems. This role sits at the intersection of cutting-edge research and production scalability, where your work directly impacts how businesses leverage AI in the coming decade.
Why QuantumLeap? We're a leader in quantum-AI hybrid solutions, offering competitive compensation, flexible work arrangements, and unparalleled opportunities to shape emerging technologies. Our Austin hub combines startup agility with enterprise resources, creating the perfect environment for innovation.
Responsibilities
- Architect scalable, fault-tolerant AI/ML infrastructure supporting 10M+ daily inference requests
- Design hybrid quantum-classical computing pipelines for real-time data processing
- Implement MLOps pipelines with automated model deployment and versioning
- Optimize GPU/TPU clusters for distributed training of billion-parameter models
- Develop security frameworks for federated learning and privacy-preserving AI
- Lead cross-functional teams in translating research prototypes into production systems
- Establish performance benchmarks for next-gen AI hardware acceleration
Qualifications
- 5+ years in ML infrastructure with proven experience at scale (10K+ GPU clusters)
- Expertise in Kubernetes, TensorFlow Extended, and cloud-native ML deployment
- Deep understanding of quantum computing principles and hybrid algorithms
- Strong background in distributed systems and high-performance computing
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Certification in AWS/Azure/GCP ML engineering or equivalent
- Experience with ethical AI frameworks and bias mitigation strategies