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Lead AI & Quantum Architect (Class of 2026)

OmniVerse Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Architects of Tomorrow

We are seeking a visionary Lead AI & Quantum Architect to define the technological landscape of 2026 and beyond. OmniVerse Solutions is pioneering the next generation of neural interfaces and post-silicon computing. If you are driven by the challenge of building systems that don't just exist in the future, but shape it, we want to meet you.

As a key member of our R&D division, you will bridge the gap between theoretical quantum physics and practical, scalable artificial intelligence applications. This is not just a job; it is a mission to accelerate human evolution through technology.

Why Join Us?

  • Work on projects that redefine the boundaries of possibility.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium San Francisco HQ access.

Key Responsibilities:

Responsibilities

  • Spearhead the architectural design of next-generation AI systems optimized for the 2026 computing paradigm, integrating quantum-classical hybrid models.
  • Lead Research and Development initiatives in advanced machine learning algorithms, focusing on efficiency and scalability.
  • Define and implement technical roadmaps for our neural infrastructure, ensuring alignment with long-term business goals.
  • Mentor and cultivate a high-performing team of AI engineers and data scientists.
  • Collaborate with cross-functional partners to translate complex scientific concepts into user-centric applications.
  • Ensure system security, compliance, and ethical AI practices across all deployed solutions.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related field with a focus on AI or Quantum Computing.
  • Minimum of 8 years of professional experience in software architecture, machine learning, and large-scale system design.
  • Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
  • Proven track record of leading technical teams and managing complex R&D projects.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python TensorFlow System Architecture Cloud Computing R&D

Ready to Take This Challenge?

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

Apply Now

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