Job Description
Are you ready to architect the infrastructure of tomorrow? Nexus Core Systems is at the forefront of the 2026 Protocol initiative—a next-generation AI ecosystem designed to redefine human-machine interaction. We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco and drive the development of scalable, high-performance machine learning models.
In this role, you will not just write code; you will define the standards for the 2026 era. You will work with cutting-edge hardware accelerators and deploy neural architectures that power the next generation of autonomous systems. If you are passionate about pushing the boundaries of AI and thrive in a fast-paced, innovative environment, this is your opportunity to lead.
Why Join Us?
- Work on the 2026 Protocol – the industry's leading framework for future AI development.
- Competitive equity package and top-tier compensation.
- State-of-the-art research facilities in the heart of the Bay Area.
- Flexible remote-first culture with quarterly in-person hackathons.
Responsibilities
- Lead Architecture: Design and implement scalable distributed neural networks specifically optimized for the 2026 Protocol architecture.
- Model Optimization: Reduce inference latency and enhance model accuracy by implementing advanced quantization and pruning techniques.
- R&D Leadership: Conduct cutting-edge research in Large Language Models (LLMs) and multimodal AI systems.
- Deployment: Oversee the CI/CD pipeline for deploying AI models to production environments using Kubernetes and Docker.
- Collaboration: Partner with cross-functional teams (Data Science, DevOps, Product) to integrate AI capabilities into consumer-facing products.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
- Programming: Proficiency in Python and Rust (critical for 2026 Protocol compatibility).
- Frameworks: Extensive experience with TensorFlow, PyTorch, or JAX.
- Infrastructure: Strong understanding of cloud platforms (AWS/GCP) and container orchestration.
- Problem Solving: Demonstrated ability to solve complex technical challenges in high-scale environments.