Job Description
Shape the technological landscape of tomorrow as our 2026 AI Infrastructure Architect. At QuantumLeap Dynamics, we're pioneering quantum-adjacent computing solutions that will redefine industry standards. Join our elite R&D team to architect next-generation AI systems capable of autonomous learning and predictive modeling at scale. This role offers unparalleled opportunity to influence the next wave of technological evolution while working with Nobel Prize-winning researchers and cutting-edge quantum hardware.
We offer competitive equity packages, flexible remote work options, and a $20,000 annual innovation stipend for experimental projects. Our Austin campus features state-of-the-art labs and collaborative spaces designed for breakthrough thinking.
Responsibilities
- Design and implement scalable quantum-inspired AI architectures supporting 10,000+ concurrent training models
- Lead integration of neuromorphic computing systems with traditional cloud infrastructure
- Develop autonomous resource optimization algorithms for distributed quantum networks
- Architect secure cross-dimensional data pipelines for multi-modal AI systems
- Establish predictive maintenance frameworks for quantum-resistant infrastructure
- Collaborate with product teams to translate 2026-era AI capabilities into commercial solutions
Qualifications
- PhD in Quantum Computing, Advanced AI, or related field (MS with 8+ years experience)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven experience architecting petabyte-scale distributed systems with sub-millisecond latency
- Deep understanding of quantum-resistant cryptography and post-quantum security protocols
- Published research in Nature/Science journals on AI or quantum systems
- Proficiency in emerging neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Experience with autonomous AI development frameworks (AutoML 2.0, Neurosymbolic systems)