Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution. We're pioneering autonomous AI systems that will redefine industries by 2026. As a Senior AI Systems Architect, you'll architect scalable machine learning frameworks, lead cross-functional innovation sprints, and mentor next-gen engineers to build solutions for tomorrow's challenges. Our culture blends cutting-edge research with agile execution in a mission-driven environment.
Responsibilities
- Design and deploy distributed AI/ML pipelines processing petabytes of real-time data
- Architect quantum-resistant algorithms for secure autonomous systems
- Lead technical strategy for 2026 product roadmap integration
- Mentor cross-functional teams in MLOps and edge computing paradigms
- Optimize neural networks for energy-efficient hardware acceleration
- Drive innovation in federated learning frameworks
- Validate system performance through rigorous A/B testing protocols
Qualifications
- 8+ years in AI/ML development with production-level neural networks
- Expertise in TensorFlow/PyTorch and distributed computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML) preferred
- Proven track record architecting systems processing >100TB daily
- Strong background in quantum computing principles
- Fluency in Python, C++, and Rust for performance-critical components
- Experience with federated learning and differential privacy
- PhD in Computer Science or equivalent research experience