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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

FutureVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the future of artificial intelligence as a Quantum AI Systems Architect at FutureVision Labs. We're pioneering the next frontier of computational intelligence where quantum mechanics meets machine learning. Join our elite team to design and implement hybrid quantum-classical systems that will revolutionize industries from healthcare to finance. This is your opportunity to work at the bleeding edge of technology, contributing to projects that will define 2026 and beyond.

Our ideal candidate thrives in ambiguity, embraces exponential growth, and possesses a rare blend of theoretical knowledge and practical implementation skills. You'll collaborate with Nobel laureates, startup founders, and government researchers in a culture that values audacious thinking and relentless execution. We offer competitive equity packages, unlimited learning stipends, and the chance to solve humanity's most complex challenges.

Responsibilities

  • Architect hybrid quantum-classical AI systems for enterprise-scale applications
  • Design error-corrected quantum algorithms to accelerate machine learning workflows
  • Lead cross-functional teams of physicists, software engineers, and domain experts
  • Develop quantum-safe encryption protocols for next-gen data infrastructure
  • Translate theoretical quantum computing concepts into production-ready implementations
  • Secure government and private partnerships for cutting-edge research initiatives
  • Pioneer novel neural network architectures optimized for quantum hardware

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Proven expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Published research in top-tier journals (Nature, Science, IEEE) on quantum AI
  • Experience with large-scale distributed computing frameworks (Spark, Kubernetes)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow) at scale
  • Ability to secure SBIR/STTR grants and navigate federal research ecosystems

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Error Correction Cirq Q# Distributed Systems AI Architecture Cryptography

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