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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead - AI & Quantum Systems

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are Nexus Horizon, a pioneer in next-generation computational technologies. We are seeking a visionary Future Tech Lead to architect the infrastructure for 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI and practical, scalable quantum-ready systems. If you are driven by the challenge of defining the future of human-computer interaction and wish to lead a team that builds the tools of tomorrow, we want to meet you.

Why join us? We offer competitive equity, remote-first flexibility, and the chance to work on projects that redefine industry standards.

Responsibilities

  • Architect Future Systems: Design and implement scalable AI and quantum computing frameworks designed to scale for 2026 and beyond.
  • Strategic Vision: Lead the technical roadmap, identifying emerging technologies (GenAI, Neuro-symbolic AI) to integrate into our core products.
  • Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation, curiosity, and technical excellence.
  • Performance Optimization: Oversee system architecture to ensure maximum efficiency, low latency, and robust security for complex data models.
  • R&D Collaboration: Partner with data scientists and researchers to translate experimental models into production-ready applications.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and drive alignment across product and business units.

Qualifications

  • Experience: 8+ years of software engineering experience with at least 3 years in a Lead or Architect role.
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP/Azure).
  • Future-Ready Skills: Familiarity with quantum computing concepts (Qiskit, Cirq) or advanced edge computing architectures is highly preferred.
  • System Design: Proven track record of designing resilient, distributed systems capable of handling petabyte-scale data.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Certifications: AWS Solutions Architect or Google Cloud Professional Architect certification is a plus.

Required Skills

Python Machine Learning System Architecture Cloud Computing Quantum Computing AI TensorFlow Leadership Cloud Native Data Structures

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