Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026. We seek visionary AI Research Scientists to architect next-generation intelligent systems that will redefine human-machine collaboration. This role offers unparalleled opportunities to work with quantum-inspired algorithms, neuromorphic computing, and generative AI frameworks in an environment where innovation meets impact.
Our Austin campus features state-of-the-art laboratories and collaborative spaces designed for breakthrough thinking. You'll collaborate with Nobel laureates and Turing Award winners while contributing to projects that shape the future of autonomous systems, personalized medicine, and sustainable energy solutions.
Responsibilities
- Design and implement novel AI architectures leveraging quantum-inspired computing paradigms
- Lead cross-functional teams in developing generative AI models for 2026 use cases
- Conduct pioneering research in neuromorphic computing and cognitive AI systems
- Translate theoretical frameworks into production-ready solutions with measurable business impact
- Author peer-reviewed publications and secure patents in emerging AI domains
- Mentor junior researchers and foster innovation through collaborative hackathons
- Align research objectives with global sustainability and ethical AI frameworks
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Expertise in quantum computing principles and quantum machine learning algorithms
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Mastery of Python, PyTorch, TensorFlow, and distributed computing frameworks
- Deep understanding of neuromorphic hardware and brain-inspired computing models
- Experience with large-scale generative AI systems (LLMs, diffusion models)
- Demonstrated ability to translate research into commercial applications
- Strong ethical AI governance background and commitment to responsible innovation