Job Description
Are you ready to architect the next generation of artificial intelligence? Nexus Core Systems is at the forefront of the 2026 initiative, a revolutionary open-source AI model designed to redefine the boundaries of generative intelligence. We are seeking a visionary Senior AI Engineer to lead the development of our core training infrastructure and optimize inference performance at scale.
In this role, you will collaborate with world-class researchers and engineers to push the limits of transformer architectures and large-scale language models. If you are passionate about code, mathematics, and the future of AI, we want to hear from you.
Why Join Us?
- Work on the 2026 model, one of the most anticipated AI projects of the decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with access to top-tier hardware.
Responsibilities
- Architect and implement high-performance training pipelines for the 2026 model using PyTorch and JAX.
- Optimize model inference speeds and memory efficiency on distributed clusters.
- Conduct rigorous benchmarking and evaluation against state-of-the-art baselines.
- Collaborate with the research team to refine model architectures and training strategies.
- Debug complex numerical instability issues and ensure reproducibility of results.
- Mentor junior engineers and contribute to open-source documentation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in deep learning, NLP, or machine learning engineering.
- Strong proficiency in Python and C++.
- Extensive experience with PyTorch, TensorFlow, or Hugging Face Transformers.
- Deep understanding of transformer models, attention mechanisms, and distributed training.
- Proven track record of optimizing GPU/TPU utilization for large-scale training.