Job Description
Are you ready to shape the technological landscape of tomorrow? Nebula Future Systems is at the forefront of the 2026 Initiative, a revolutionary project designed to redefine the boundaries of artificial intelligence and quantum computing. We are seeking a visionary Senior AI Architect to lead our engineering team in San Francisco.
In this role, you won't just write code; you will architect the brain of a new era. You will work directly with our CTO to implement cutting-edge algorithms that bridge the gap between current neural networks and future scalability requirements. If you are passionate about solving complex problems and want to leave a legacy in the tech world, we want to hear from you.
Why join the 2026 Initiative?
- Work on high-impact, confidential projects that define industry standards.
- Access to state-of-the-art quantum computing resources.
- Competitive compensation and equity packages.
- Collaborative, elite engineering culture.
Responsibilities
- Lead Architecture: Design and implement the core AI infrastructure for the 2026 Project, ensuring scalability, security, and performance.
- Model Development: Develop and fine-tune proprietary machine learning models to achieve state-of-the-art results in predictive analytics.
- Team Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural discussions.
- Research & Innovation: Stay ahead of the curve by researching emerging AI trends and integrating them into our product roadmap.
- System Optimization: Optimize neural network training pipelines to reduce latency and improve computational efficiency.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and investors.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
- Knowledge: Deep understanding of Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning.
- Quantum Ready: Familiarity with quantum computing concepts and hybrid classical-quantum algorithms.
- Problem Solving: Demonstrated ability to troubleshoot complex system bottlenecks and drive innovative solutions.