Job Description
Are you ready to architect the infrastructure for the technological singularity? Nexus Future Labs is at the forefront of synthetic intelligence and quantum computing integration. We are seeking a visionary AI & Quantum Systems Architect to lead our R&D division in San Francisco.
In this role, you will bridge the gap between theoretical physics and practical software engineering to build systems that operate at the edge of possibility. If you are passionate about the future of computation and want to define the standards for 2026 and beyond, we want to hear from you.
Why Join Us?
- Work with state-of-the-art Quantum Processing Units (QPUs).
- Competitive equity package and top-tier healthcare.
- Flexible remote-first policy with a premium office in SF.
Responsibilities
- Architect Next-Gen Solutions: Design scalable, high-performance software architectures that integrate Artificial Intelligence models with Quantum computing protocols.
- R&D Leadership: Lead the research and development of proprietary algorithms for predictive modeling and autonomous decision-making systems.
- System Optimization: Optimize neural network training loops to run efficiently on hybrid classical-quantum hardware environments.
- Cross-Functional Collaboration: Partner with data scientists, hardware engineers, and product managers to translate complex requirements into technical roadmaps.
- Code Governance: Establish coding standards, review technical debt, and ensure security compliance for all deployed AI agents.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in software architecture, with a strong focus on AI/ML frameworks (TensorFlow, PyTorch) or Quantum Computing libraries (Qiskit, Cirq).
- Technical Skills: Deep understanding of machine learning principles, distributed systems, and cloud infrastructure (AWS/Azure/GCP).
- Problem Solving: Proven ability to solve complex, open-ended problems in ambiguous environments.
- Communication: Excellent written and verbal communication skills; capable of presenting technical concepts to non-technical stakeholders.