Job Description
Are you ready to architect the technology of tomorrow? Nexus Future Labs is seeking a visionary Future-Ready Systems Architect to lead our mission into the 2026 Horizon. In this pivotal role, you will design scalable, intelligent infrastructure that predicts and adapts to the next generation of digital demands.
We are not just building software; we are defining the blueprint for the future. If you have a passion for cutting-edge AI, quantum-ready architecture, and forward-thinking system design, we want to hear from you.
Why Join Us?
- Work at the intersection of AI and infrastructure.
- Shape the roadmap for 2026 and beyond.
- Competitive compensation and equity package.
- Flexible remote-first culture with HQ in SF.
Don't just build for today. Architect for the future.
Responsibilities
- Architect Future-Proof Systems: Design robust, scalable software architectures capable of supporting the technological demands of 2026 and beyond.
- Lead AI Integration: Spearhead the integration of Generative AI and predictive models into core infrastructure systems.
- Define the 2026 Roadmap: Collaborate with C-suite executives to define long-term technical strategies and innovation milestones.
- Cloud & Edge Computing: Optimize cloud-native solutions and explore edge computing implementations for low-latency performance.
- Code Review & Mentorship: Lead technical architecture reviews and mentor junior engineers to foster a culture of excellence.
- Security & Compliance: Ensure all future systems adhere to the highest security standards and regulatory compliance.
Qualifications
- Experience: 7+ years of experience in software architecture, with at least 3 years in AI/ML infrastructure.
- Technical Skills: Proficiency in Python, Go, or Rust; deep understanding of Kubernetes, Docker, and microservices.
- AI Mastery: Experience with Large Language Models (LLMs), neural networks, and distributed computing frameworks (e.g., TensorFlow, PyTorch).
- Strategic Thinking: Proven track record of defining technical roadmaps and leading cross-functional teams.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Problem Solving: Ability to solve complex, ambiguous problems with innovative architectural solutions.