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Future Systems Architect

OmniStream Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the technology of tomorrow? OmniStream Technologies is pioneering the infrastructure for the year 2026 and beyond. We are seeking a visionary Future Systems Architect to lead our quantum and AI research division in San Francisco.

In this role, you won't just maintain current systems; you will design the neural interfaces, autonomous agents, and quantum algorithms that will define the next decade of human-machine interaction. Join us in building the future, today.

Responsibilities

  • Lead R&D: Spearhead the research and development of next-generation AI systems designed for the 2026 technological landscape.
  • System Architecture: Design scalable, fault-tolerant architectures that integrate classical computing with emerging quantum technologies.
  • Autonomous Systems: Develop and optimize self-learning algorithms for complex, real-world deployment scenarios.
  • Team Leadership: Mentor a team of elite engineers and data scientists, fostering a culture of innovation and high performance.
  • Strategic Vision: Collaborate with executive leadership to define long-term technical roadmaps aligned with global industry trends.
  • Prototyping: Build and iterate on high-fidelity prototypes to validate theoretical models before full-scale deployment.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Quantum Physics, or a related technical field.
  • Experience: Minimum of 5 years of experience in high-level systems architecture, preferably in AI, Robotics, or Quantum Computing.
  • Technical Skills: Proficiency in Python, C++, and Rust; experience with quantum simulators (e.g., Qiskit, Cirq) and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Innovation: Proven track record of solving complex problems and delivering innovative solutions in a fast-paced environment.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage large-scale technical projects.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Python C++ Deep Learning Leadership R&D

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