Job Description
About Us:
At Zenith Future Labs, we are at the forefront of defining the technological landscape of 2026. We are building the infrastructure for a post-silicon world, focusing on quantum-ready algorithms and hyper-scalable neural networks. If you want to shape the future rather than just react to it, this is the place.
The Role:
We are seeking a visionary Senior AI Architect to lead our research division. You will be responsible for designing the core intelligence engines that power our next-generation platforms. This is not a standard software engineering role; it requires a deep understanding of theoretical physics applied to computational models.
Why Join Us?
- Work with a team of Nobel laureates and industry veterans.
- Competitive equity package with long-term vesting.
- Fully remote-first culture with HQ in the heart of SF.
Responsibilities
- Architect and implement proprietary deep learning frameworks designed for 2026 infrastructure standards.
- Lead a cross-functional team of data scientists and engineers to translate theoretical models into production-ready code.
- Define the roadmap for scalable AI systems capable of processing exabyte-scale datasets in real-time.
- Ensure ethical AI compliance and bias mitigation across all training datasets.
- Collaborate with hardware engineers to optimize inference latency on next-gen quantum processors.
- Mentor junior architects and conduct technical due diligence on emerging research papers.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or Computational Physics.
- 10+ years of experience in Machine Learning, Deep Learning, or Reinforcement Learning.
- Expert proficiency in Python, C++, and Rust with experience in GPU acceleration (CUDA).
- Proven track record of deploying Large Language Models (LLMs) or Generative Adversarial Networks (GANs) at scale.
- Strong understanding of distributed systems, cloud architecture, and edge computing protocols.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.