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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Engineer

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus 2026, the premier innovator in next-generation artificial intelligence and quantum computing integration. We are seeking a visionary Senior AI & Quantum Systems Engineer to spearhead our breakthrough projects. If you are driven by the challenge of defining the technological landscape of the future, this is your stage.

Our mission is to bridge the gap between classical computing and quantum supremacy, creating systems that are not only efficient but revolutionary. As a key member of our elite engineering team, you will shape the architecture of the world's most advanced neural networks.

Responsibilities

  • Design and implement scalable machine learning pipelines for quantum-classical hybrid systems.
  • Lead research initiatives to optimize neural network efficiency on non-standard hardware architectures.
  • Collaborate with cross-functional teams to define technical roadmaps for the 2026 roadmap.
  • Ensure system reliability, security, and performance in high-stakes environments.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Conduct rigorous code reviews and architectural decision-making for core product modules.

Qualifications

  • Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • Minimum of 5 years of experience in AI/ML engineering and software development.
  • Deep proficiency in Python, C++, and frameworks like TensorFlow or PyTorch.
  • Experience with quantum computing libraries (Qiskit, Cirq) or hardware interfaces.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and API design.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Quantum Computing C++ System Architecture Machine Learning AWS Distributed Systems

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