Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we architect solutions for 2026 and beyond. We seek a visionary Future Systems Architect to design next-generation infrastructure that powers our global operations. This hybrid role demands strategic foresight, technical mastery, and the ability to transform emerging technologies into scalable, sustainable systems.
Our Austin-based team operates at the intersection of quantum computing, AI ethics, and decentralized networks. You'll collaborate with C-suite executives, research labs, and international partners to build frameworks that define tomorrow's digital landscape. We offer competitive compensation, comprehensive benefits, and unparalleled opportunities for professional growth in a culture that values innovation and integrity.
Responsibilities
- Design and implement resilient, scalable architectures for 2026-era systems incorporating quantum-resistant protocols
- Lead cross-functional teams to integrate AI governance frameworks and ethical AI protocols
- Develop strategic roadmaps for blockchain-based infrastructure and decentralized applications
- Conduct vulnerability assessments for next-gen security protocols and quantum computing interfaces
- Collaborate with research institutions on experimental technologies with 5-10 year deployment horizons
- Present architectural blueprints to executive stakeholders and investor boards
- Mentor junior architects on emerging technology trends and future-proof design principles
Qualifications
- Minimum 8 years in systems architecture with proven experience in quantum computing or AI infrastructure
- Certification in quantum security protocols (e.g., QKD, post-quantum cryptography)
- Expertise in distributed ledger technology and decentralized system architecture
- Strong background in AI ethics frameworks and responsible AI deployment
- Experience presenting to C-suite executives and technical boards
- Published research or patents in future technology systems
- Proficiency in modeling tools for complex multi-domain systems
- Master's degree in Computer Science, Engineering, or related field