Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we architect the AI systems that will redefine 2026. We're seeking visionary AI/ML Systems Architects to design next-generation neural networks and quantum computing interfaces. This role sits at the intersection of bleeding-edge research and scalable implementation, offering unparalleled opportunities to shape humanity's digital future. Our culture champions innovation, autonomy, and intellectual curiosity, with competitive equity packages and unlimited learning budgets.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing at petabyte scale
- Architect hybrid quantum-classical computing frameworks for 2026-era applications
- Lead cross-functional teams in developing ethical AI governance frameworks
- Optimize neural network architectures for edge deployment in autonomous systems
- Research and integrate emerging AI paradigms including AGI precursor systems
- Develop security protocols for federated learning across distributed networks
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks (Ray, Dask)
- Proficiency in quantum programming languages (Qiskit, Cirq) and quantum annealing
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
- Deep understanding of transformer architectures and self-supervised learning
- Experience with MLOps toolchains (MLflow, Kubeflow) and cloud-native deployment