Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. Our multidisciplinary team is revolutionizing human-machine interaction through quantum computing integration and neural architecture innovation. This role offers unparalleled opportunity to shape the next generation of autonomous intelligence while working in our state-of-the-art Austin hub.
We're seeking visionary researchers who thrive at the intersection of theoretical mathematics and practical application. You'll collaborate with Nobel laureates and industry disruptors to develop proprietary algorithms that will redefine technological boundaries. The position includes competitive equity packages and access to our $50M research fund.
Responsibilities
- Design and implement novel neural network architectures for next-gen autonomous systems
- Lead cross-functional teams in developing quantum-enhanced machine learning models
- Author breakthrough research papers for top-tier AI conferences (NeurIPS, ICML, ICLR)
- Translate theoretical frameworks into production-ready AI solutions with 99.9% reliability
- Drive innovation in ethical AI governance frameworks for 2026 regulatory landscape
- Collaborate with hardware engineers to optimize AI/ML co-design systems
Qualifications
- PhD in Computer Science, Mathematics, or related field (or equivalent research experience)
- 5+ years publishing peer-reviewed research in top-tier AI/ML conferences
- Expertise in transformer architectures, reinforcement learning, and generative models
- Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
- Demonstrated success in deploying production AI systems at scale
- Strong background in quantum computing principles and their AI applications
- Published record in ethical AI alignment and safety research