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Lead Quantum Systems Architect

Aether Dynamics
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Lead Quantum Systems Architect to join Aether Dynamics, a pioneer in next-generation computational infrastructure. In this role, you will bridge the gap between theoretical physics and practical software engineering, building the foundational architecture for our 2026-ready neural networks. If you are passionate about shaping the future of human-computer interaction and possess a deep understanding of quantum mechanics, we want to hear from you.

Why Join Us?

  • Work at the bleeding edge of technology with a team of elite engineers and scientists.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with access to state-of-the-art research labs.
  • Opportunity to define the standards for the next decade of computing.

Responsibilities

  • Design and implement scalable quantum-resistant cryptographic protocols for secure data transmission.
  • Lead the architecture of hybrid cloud systems integrating classical AI with quantum processing units (QPUs).
  • Collaborate with research scientists to translate theoretical models into production-ready software libraries.
  • Oversee the migration of legacy systems to next-gen microservices architectures optimized for edge computing.
  • Define technical roadmaps for quantum software development kits (SDKs) and developer tools.
  • Conduct rigorous code reviews and mentor junior architects in best practices for distributed systems.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
  • Minimum of 8 years of experience in systems architecture, with at least 3 years specifically in quantum or high-performance computing environments.
  • Deep expertise in programming languages such as Python, C++, and Rust.
  • Proven track record of leading cross-functional teams in high-stakes R&D projects.
  • Strong understanding of machine learning algorithms, neural networks, and their hardware accelerators.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Quantum Computing Systems Architecture Artificial Intelligence Python C++ Rust Cloud Computing Cryptography Neural Networks Microservices

Ready to Take This Challenge?

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