Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we architect the digital infrastructure for 2026 and beyond. We're seeking visionary Future Systems Architects to design scalable, resilient systems that power next-generation AI ecosystems, quantum computing frameworks, and autonomous networks. This role blends cutting-edge research with practical implementation, requiring you to solve complex challenges at the intersection of emerging technologies and real-world applications.
Our Austin hub offers a dynamic environment where innovation meets execution. You'll collaborate with world-class engineers to prototype solutions for climate modeling, biotech acceleration, and space exploration systems. We provide competitive compensation, flexible work arrangements, and access to our state-of-the-art R&D facilities.
Responsibilities
- Design and implement scalable architectures for distributed AI/ML systems processing petabyte-scale datasets
- Develop quantum-resistant encryption protocols for next-gen financial networks
- Lead cross-functional teams in prototyping autonomous drone logistics systems
- Architect edge-computing frameworks supporting real-time biometric analysis
- Create adaptive security frameworks for decentralized identity systems
- Optimize resource allocation for carbon-neutral data centers using predictive analytics
- Document system blueprints using advanced digital twin technology
Qualifications
- 10+ years in distributed systems architecture with proven experience in microservices and Kubernetes
- Expertise in quantum computing principles (Q#, Cirq, or Qiskit)
- Deep knowledge of post-quantum cryptography standards (NIST PQC candidates)
- Advanced proficiency in Python, Rust, and Go for high-performance systems
- Certification in AWS/Azure/GCP with hands-on experience in quantum services
- Published research in IEEE or ACM journals on future computing paradigms
- Experience with neuromorphic computing and memristor-based architectures
- Strong background in ethical AI frameworks and responsible innovation