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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Engineer 2026

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking visionary engineers to architect next-generation neural networks and deploy cutting-edge autonomous systems. Our dynamic R&D team operates at the intersection of quantum computing and machine learning, solving humanity's most complex challenges through innovation-driven collaboration.

Responsibilities

  • Design and implement scalable AI frameworks for real-time data processing
  • Lead cross-functional teams in deploying quantum-enhanced algorithms
  • Architect secure autonomous systems with 99.99% uptime reliability
  • Optimize neural network architectures for edge computing environments
  • Conduct pioneering research in explainable AI and ethical machine learning
  • Mentor junior engineers in next-gen development methodologies

Qualifications

  • MS/PhD in Computer Science or related field (2025-2026 graduates welcome)
  • Expertise in TensorFlow/PyTorch and distributed computing frameworks
  • Published research in reinforcement learning or quantum machine learning
  • Proficiency in Python, C++, and low-level optimization techniques
  • Experience with MLOps pipelines and cloud-native architectures
  • Strong background in ethical AI development and bias mitigation

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Python C++ MLOps Distributed Systems

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