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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect (AI & Quantum)

Nexus 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on a mission to build the infrastructure for the future. At Nexus 2026 Labs, we are pioneering the next generation of intelligent systems, integrating advanced AI with quantum-ready architectures. We are seeking a visionary Future Systems Architect to lead our engineering efforts and define the technological landscape of 2026 and beyond.

In this role, you will be responsible for designing, implementing, and optimizing complex hybrid systems that bridge the gap between classical computing and emerging quantum technologies. You will work in a fast-paced, collaborative environment with top-tier talent, pushing the boundaries of what is possible in software engineering.

Why Join Us?

  • Work on groundbreaking projects that shape the future of technology.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with state-of-the-art offices in San Francisco.

Responsibilities

  • Architect and design scalable, high-performance systems for AI and quantum computing integration.
  • Lead the development of next-generation cloud-native microservices and distributed systems.
  • Optimize neural network models for real-time inference and edge computing deployment.
  • Collaborate with data scientists and researchers to translate theoretical models into production-grade software.
  • Establish best practices for code quality, security, and operational excellence.
  • Conduct technical due diligence and prototype novel solutions for future roadmap items.

Qualifications

  • Master’s degree or PhD in Computer Science, Electrical Engineering, or a related technical field.
  • Minimum of 5 years of experience in systems architecture, cloud engineering, or distributed systems.
  • Proficiency in programming languages such as Python, Rust, Go, or C++.
  • Strong understanding of containerization (Docker/Kubernetes) and orchestration.
  • Experience with AI/ML frameworks (TensorFlow, PyTorch) and large-scale data processing.
  • Excellent problem-solving skills and ability to work in ambiguous, high-velocity environments.

Required Skills

AI Quantum Computing Systems Architecture Python Rust Kubernetes Cloud Computing Machine Learning Distributed Systems

Ready to Take This Challenge?

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