Job Description
Are you ready to define the future of technology?
Nexus Core Labs is spearheading the 2026 Initiative, a revolutionary research project focused on next-generation artificial intelligence and predictive quantum computing. We are seeking a visionary Lead AI Architect to design the neural frameworks that will power the next decade of technological evolution.
In this role, you will move beyond standard software engineering to architect the core infrastructure of our autonomous systems. You will work on high-stakes problems that require not just technical skill, but a deep understanding of future-proof scalability.
Why Join the 2026 Initiative?
- Work on classified, next-gen algorithms with global impact.
- Competitive salary and equity package reflective of market leaders.
- Access to cutting-edge hardware and research facilities.
Responsibilities
- Architectural Design: Design and implement robust, scalable AI architectures for the 2026 Initiative, ensuring high availability and low latency in distributed systems.
- R&D Leadership: Lead a team of data scientists in researching novel machine learning algorithms, focusing on deep reinforcement learning and natural language processing.
- System Optimization: Optimize existing neural networks for performance, reducing computational costs by over 30% while maintaining model accuracy.
- Production Deployment: Partner with software engineers to integrate complex AI models into production environments, ensuring seamless API transitions.
- Talent Development: Mentor junior engineers and conduct rigorous code reviews to maintain elite engineering standards within the team.
Qualifications
- Education: PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in machine learning, deep learning, and large-scale distributed systems.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and CUDA.
- Algorithmic Knowledge: Deep understanding of NLP, Computer Vision, and Graph Neural Networks.
- Problem Solving: Demonstrated ability to solve ambiguous, high-complexity problems with innovative, future-proof technical solutions.