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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Systems Architect

OmniFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the digital landscape of 2026? OmniFuture Labs is seeking a visionary Future Tech Systems Architect to pioneer breakthroughs in next-generation AI and sustainable computing. We are building the infrastructure for tomorrow, and we need a technical leader who can bridge the gap between theoretical research and practical application.


In this role, you will lead the architectural design of high-performance computing systems, integrating cutting-edge machine learning models with edge devices. You will work in a collaborative, fast-paced environment focused on solving complex problems that will shape the future of technology.


Why Join Us?

  • Work on projects that are shaping the trajectory of the tech industry.
  • Competitive salary and comprehensive benefits package.
  • Flexible remote-first hybrid work culture.
  • Access to the latest hardware and software prototypes.

Responsibilities

  • Architect scalable, fault-tolerant systems designed for the 2026 era, focusing on AI integration and data processing.
  • Lead the research and implementation of novel algorithms to improve computational efficiency.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to define technical requirements.
  • Ensure system security, compliance, and scalability across cloud and edge environments.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Predict future tech trends and integrate them into our long-term product roadmap.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of experience in systems architecture, software engineering, or high-performance computing.
  • Deep expertise in Python, C++, and modern cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of leading large-scale technical projects from conception to deployment.
  • Strong understanding of neural networks, machine learning frameworks (TensorFlow, PyTorch), and distributed systems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ AWS Machine Learning Distributed Systems Cloud Computing Neural Networks System Architecture

Ready to Take This Challenge?

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