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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect - 2026 Vision

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking a visionary AI Systems Architect to design next-generation autonomous frameworks that will redefine industries. Work alongside Nobel laureates and Turing Award winners in our state-of-the-art Palo Alto R&D hub. Your innovations will power everything from climate modeling to interstellar navigation systems.

This role offers unparalleled opportunities to shape humanity's technological trajectory while enjoying Silicon Valley's premier benefits package, including equity, unlimited PTO, and a $20,000 annual learning stipend.

Responsibilities

  • Architect quantum-resistant neural networks for 2026-era autonomous systems
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Design fault-tolerant distributed systems processing petabytes of real-time data
  • Research breakthrough applications in AGI safety and alignment protocols
  • Collaborate with NASA and CERN on next-gen space computing initiatives
  • Patent novel algorithms for energy-efficient large-scale inference
  • Mentor PhD candidates in our 2026 Fellowship Program

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Published research in NeurIPS/ICML with >500 citations
  • Expertise in quantum computing architectures (Qiskit/PyTorch Quantum)
  • Proficiency in building systems processing 10^12+ daily transactions
  • Deep understanding of transformer architectures beyond GPT-4
  • Experience with federated learning across regulatory boundaries
  • Portfolio demonstrating deployed AI systems with measurable societal impact
  • Fluency in Rust/C++ for low-latency critical systems

Required Skills

AI/ML Quantum Computing Distributed Systems Neural Networks Rust Python Kubernetes TensorFlow PyTorch AGI Safety

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