Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution for 2026. We're pioneering next-gen AI/ML solutions that will redefine industries, and we need visionary engineers to build the future. Our Austin-based hub offers cutting-edge resources, collaborative innovation spaces, and a culture that values intellectual curiosity. Shape algorithms that power autonomous systems, predictive analytics, and quantum-enhanced machine learning. This isn't just a job—it's your opportunity to engineer humanity's next technological leap.
Responsibilities
- Design and implement scalable ML architectures for 2026-era autonomous systems
- Develop quantum-enhanced algorithms for predictive analytics and real-time decisioning
- Lead cross-functional teams in deploying AI solutions across IoT and edge computing platforms
- Create neural networks capable of self-optimizing in dynamic environments
- Contribute to ethical AI frameworks ensuring responsible deployment by 2026
- Research and integrate emerging technologies (neuromorphic computing, synthetic data generation)
- Optimize models for energy efficiency in distributed quantum computing environments
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
- Proven track record deploying production-grade ML systems at scale
- Strong background in quantum computing principles or neuromorphic engineering
- Experience with MLOps pipelines and cloud platforms (AWS/GCP/Azure)
- Published research in top-tier AI/ML conferences or journals
- Ability to translate complex technical concepts for cross-functional stakeholders
- Portfolio demonstrating work on future-focused AI applications