Job Description
Are you ready to architect the infrastructure of tomorrow?
Nexus Future Labs is seeking a visionary Future Systems Architect to lead the convergence of Generative AI and Quantum Computing. In this role, you won't just be maintaining legacy systems; you will be designing the foundational frameworks that will power the digital landscape of 2026 and beyond. We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn theoretical physics into scalable production code.
Why Join Us?
- Work on groundbreaking projects that redefine the boundaries of technology.
- Competitive salary and equity package reflective of your expertise.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of tech pioneers.
Responsibilities
- Architect Next-Gen Infrastructure: Design and implement scalable system architectures that integrate Large Language Models (LLMs) with hybrid quantum-classical computing environments.
- Strategic Roadmapping: Define the long-term technical roadmap for future-proofing our products against emerging technological disruptions.
- Performance Optimization: Oversee the optimization of data throughput and computational efficiency for high-velocity AI workloads.
- Cross-Functional Leadership: Collaborate with R&D, Data Science, and Product teams to translate complex research into deployable, reliable software solutions.
- Technical Due Diligence: Evaluate and select emerging technologies (e.g., neuromorphic chips, advanced edge computing) to drive innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, or a related STEM field (or equivalent extensive experience).
- Experience: 10+ years of software architecture experience with a proven track record of leading large-scale technical initiatives.
- Core Skills: Deep proficiency in Python, Rust, or Go; extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
- AI/Quantum Knowledge: Hands-on experience with Generative AI frameworks (PyTorch, TensorFlow) and familiarity with quantum simulation tools (Qiskit, Cirq) or quantum hardware access.
- Problem Solving: Exceptional ability to solve complex, unstructured problems with innovative, forward-thinking solutions.