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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect | United States

Horizon 2026
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of humanity?

At Horizon 2026, we are not just predicting the future; we are building the infrastructure for it. As a pioneer in next-generation AI, spatial computing, and adaptive neural networks, we are looking for a visionary Future Tech Architect to lead our core engineering division in San Francisco.

In this high-impact role, you will define the technical roadmap for our 2026 release, bridging the gap between theoretical AI and deployable, scalable systems. You will work in a dynamic, high-performance environment where innovation is the only metric that matters.

Why join Horizon 2026?

  • Work on cutting-edge projects that will define the next decade of technology.
  • Competitive compensation and equity packages for top-tier talent.
  • Flexible remote-first culture with a central hub in SF.
  • Access to state-of-the-art research facilities and quantum computing resources.

Responsibilities

  • Design and implement scalable, high-performance architectural frameworks for our 2026 roadmap.
  • Lead the R&D team in developing advanced machine learning models and predictive algorithms.
  • Collaborate with cross-functional product teams to translate complex futuristic concepts into actionable technical specifications.
  • Optimize system latency and data throughput in real-time environments.
  • Mentor junior engineers and establish best practices for code quality and security.
  • Conduct regular technical assessments to ensure alignment with long-term strategic goals.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred).
  • Minimum of 5 years of experience in software architecture, AI/ML engineering, or systems design.
  • Deep proficiency in Python, C++, or Rust, with experience in cloud-native architectures (AWS/GCP).
  • Strong understanding of neural networks, natural language processing, and deep learning frameworks.
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

AI Machine Learning Software Architecture Python C++ Cloud Computing System Design Deep Learning Neural Networks TensorFlow

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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