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Information Technology 🏒 Full Time ⭐️ Verified

Lead Architect: 2026 Future Tech

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon Labs is seeking a visionary Lead Architect to define the next generation of infrastructure and intelligent systems.

In this pivotal role, you will be at the forefront of merging generative AI with quantum-ready architectures. We are building the core systems that will power the decentralized, autonomous enterprises of tomorrow. If you thrive on solving unsolvable problems and leading high-performance teams, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that will define the industry standard for the 2026 tech ecosystem.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first culture with quarterly in-person innovation summits.

Responsibilities

  • Design and implement scalable, fault-tolerant system architectures tailored for the 2026 computing era, focusing on high-throughput data processing.
  • Lead a team of senior engineers and data scientists in developing next-generation Large Language Models (LLMs) and predictive algorithms.
  • Collaborate with quantum hardware researchers to integrate hybrid classical-quantum algorithms into production workflows.
  • Oversee the migration of legacy systems to cloud-native microservices ensuring zero downtime and maximum security.
  • Define technical roadmaps and mentor junior staff, fostering a culture of continuous innovation.
  • Optimize neural network performance and reduce inference latency for real-time applications.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
  • 10+ years of experience in software architecture, with at least 5 years in a leadership capacity.
  • Deep expertise in Python, C++, and modern frameworks such as TensorFlow, PyTorch, and Apache Spark.
  • Strong understanding of distributed systems, containerization (Docker/Kubernetes), and serverless computing.
  • Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a significant plus.
  • Proven track record of deploying large-scale AI solutions in high-stakes environments.

Required Skills

Python C++ Machine Learning Deep Learning Distributed Systems Kubernetes Cloud Architecture Quantum Computing TensorFlow System Design

Ready to Take This Challenge?

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