Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026's digital landscape. We're seeking an innovative AI/ML Engineer to architect next-generation intelligent systems that will transform industries. Our Austin-based R&D hub operates at the intersection of quantum computing and neural networks, pushing the boundaries of what's possible in autonomous systems and predictive analytics. Collaborate with world-class researchers in an agile, startup-like environment while leveraging Fortune 500 resources. We offer cutting-edge tools, flexible hybrid work, and equity in a company poised to redefine the future.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing at petabyte scale
- Develop quantum-optimized algorithms to accelerate neural network training by 10x
- Architect autonomous decision systems for industrial IoT and smart city infrastructure
- Create federated learning models ensuring privacy compliance across global datasets
- Lead cross-functional sprints integrating AI solutions into edge computing environments
- Research and prototype novel neural architectures for 2026-era challenges
- Mentor junior engineers in quantum machine learning best practices
Qualifications
- 5+ years in production ML environments with TensorFlow/PyTorch mastery
- PhD or equivalent in Computer Science, Mathematics, or Physics
- Published research in quantum machine learning or federated systems
- Expertise in distributed computing frameworks (Spark, Kubernetes)
- Proven track record deploying models at >99.99% uptime SLAs
- Deep understanding of ethical AI frameworks and bias mitigation
- Proficiency in quantum programming languages (Qiskit, Cirq)
- Strong background in computer vision and NLP for multimodal systems