Job Description
We are building the infrastructure for tomorrow. At Nebula Systems, we are not just keeping up with technology; we are defining it. We are looking for a visionary Lead AI Architect to spearhead our strategic initiatives leading up to the year 2026.
In this role, you will bridge the gap between theoretical AI research and production-grade software engineering. You will architect systems that are resilient, scalable, and intelligent, preparing our platforms for the next generation of human-machine interaction. If you are passionate about the future of technology and want to leave a lasting impact on the industry, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI models that redefine industry standards.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a collaborative San Francisco hub.
- Access to state-of-the-art computing resources.
Responsibilities
- Architect and deploy scalable machine learning models capable of handling exabyte-scale data by 2026.
- Lead the technical strategy for integrating quantum-ready algorithms into our cloud ecosystem.
- Mentor a diverse team of data scientists and software engineers, fostering a culture of innovation.
- Collaborate with C-suite executives to define long-term technical roadmaps aligned with market trends.
- Oversee the migration to autonomous systems and ensure zero-latency processing across global nodes.
- Conduct rigorous code reviews and establish engineering best practices for AI safety and ethics.
Qualifications
- 10+ years of experience in software engineering, machine learning, or artificial intelligence.
- Proven track record of delivering complex, scalable solutions in high-pressure environments.
- Deep expertise in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
- Strong understanding of distributed systems, microservices, and edge computing.
- Master’s degree or Ph.D. in Computer Science, Data Science, or a related technical field.
- Exceptional leadership skills with a demonstrated ability to drive cross-functional collaboration.
- Familiarity with 2026-era tech trends, including Neuromorphic computing and Generative Adversarial Networks (GANs).