Job Description
Are you ready to architect the infrastructure of tomorrow? Nebula Systems is leading the charge on Project 2026, a bold initiative to redefine the boundaries of distributed computing and artificial general intelligence. We are seeking a visionary Senior Future Systems Architect to join our elite team in San Francisco.
In this role, you won't just maintain systems; you will design the blueprints for the next generation of technological evolution. You will bridge the gap between theoretical AI models and scalable, secure, high-performance infrastructure. If you thrive in ambiguity and are passionate about solving the complex challenges of the future, we want to hear from you.
Why join Project 2026?
- Impact: Work on infrastructure that will power the autonomous systems of 2026 and beyond.
- Innovation: Access to cutting-edge quantum computing resources and AI research labs.
- Growth: A clear trajectory for leadership within a rapidly scaling organization.
Responsibilities
- Define and oversee the high-level system architecture for Project 2026, ensuring scalability, security, and performance.
- Lead the integration of advanced AI workloads into cloud-native environments, optimizing for latency and throughput.
- Collaborate with cross-functional teams (AI Researchers, Data Engineers, Security Specialists) to translate business goals into technical specifications.
- Design fault-tolerant systems capable of handling petabyte-scale data streams in real-time.
- Establish best practices for code review, deployment pipelines, and infrastructure as code (IaC).
- Conduct technical due diligence on emerging technologies to keep Project 2026 at the forefront of innovation.
- mentor junior architects and engineers, fostering a culture of technical excellence.
Qualifications
- 10+ years of experience in systems architecture, with a strong focus on cloud technologies (AWS, Azure, or GCP).
- Deep understanding of distributed systems, microservices, and containerization (Kubernetes, Docker).
- Proven expertise in Python, Go, or Rust, with experience in high-performance computing environments.
- Experience integrating Large Language Models (LLMs) and Generative AI into production applications.
- Strong background in cybersecurity principles and zero-trust architecture.
- Master's degree in Computer Science, Engineering, or a related technical field is preferred.
- Exceptional communication skills, capable of articulating complex technical concepts to non-technical stakeholders.