Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we engineer the infrastructure for 2026. We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will power the decade's most groundbreaking innovations. This role offers the opportunity to shape the digital backbone of tomorrow's AI-driven world while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco headquarters.
As a key member of our Future Technologies Division, you'll architect scalable solutions for quantum-AI hybrid systems, pioneer energy-efficient computing paradigms, and lead the integration of neuromorphic processors into production environments. We offer competitive equity packages, unlimited learning stipends, and the chance to work on projects that will redefine human-machine interaction.
Responsibilities
- Design and implement scalable AI infrastructure supporting 10M+ concurrent users
- Architect quantum-AI hybrid computing frameworks with <0.1ms latency
- Lead development of neuromorphic processor integration pipelines
- Optimize energy consumption for next-gen AI workloads (<0.5kWh/TeraFLOP)
- Establish zero-trust security protocols for distributed AI networks
- Mentor cross-functional teams in future-proof architecture principles
- Author white papers on 2026 infrastructure standards
Qualifications
- 10+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
- Expertise in quantum computing frameworks (Qiskit, Cirq, or similar)
- Proven track record of scaling systems to petabyte-scale data processing
- Deep knowledge of neuromorphic computing (Intel Loihi, IBM TrueNorth)
- Published research in IEEE/ACM journals on AI infrastructure
- Experience with energy-efficient computing optimization (TOP500 metrics)
- PhD in Computer Science/Engineering or equivalent practical experience