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Future Tech Lead | Horizon 2026

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

Job Description

Horizon 2026 is a premier research and development firm dedicated to pioneering the technologies that will define the next decade. As we approach the pivotal year of 2026, we are seeking a visionary Future Tech Lead to spearhead our strategic initiatives in Artificial General Intelligence (AGI) and Quantum Computing integration.

Our mission is to bridge the gap between theoretical science and practical application, ensuring our clients are leaders in the 2026 landscape. You will be at the forefront of innovation, working with a world-class team to build scalable solutions that solve humanity's most complex challenges. Join us in shaping the future.

Responsibilities

  • Define and execute the long-term technological roadmap for Horizon 2026, aligning with 2026 industry milestones.
  • Lead a cross-functional team of engineers, data scientists, and strategists to prototype next-generation AI systems.
  • Conduct rigorous R&D into emerging technologies, including neural interfaces and quantum encryption.
  • Collaborate with C-level executives to translate complex technical concepts into business value.
  • Establish best practices for code, security, and scalability in a high-velocity environment.
  • Drive the adoption of sustainable computing practices to meet 2026 environmental standards.
  • Represent Horizon 2026 at global tech conferences and industry summits.

Qualifications

  • 10+ years of experience in software engineering, with at least 3 years in a leadership or architect role.
  • Deep expertise in machine learning, deep learning, and large language model architectures.
  • Strong background in quantum computing fundamentals or a willingness to master them rapidly.
  • Exceptional problem-solving skills with a proven track record of delivering innovative products.
  • Excellent communication skills, capable of presenting technical strategies to non-technical stakeholders.
  • Master's degree in Computer Science, Engineering, or a related technical field.
  • Experience with distributed systems and cloud-native architecture (AWS, Azure, GCP).

Required Skills

Artificial Intelligence Machine Learning Quantum Computing R&D Leadership Strategic Planning Python TensorFlow Cloud Architecture

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