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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Nexus 2026 is at the forefront of the next technological revolution. We are building the infrastructure for the year 2026, integrating advanced artificial intelligence with next-generation computing paradigms.

We are seeking a visionary Senior AI & Future Systems Architect to lead our R&D division. In this role, you will define the neural architectures that power our products, ensuring scalability, efficiency, and ethical AI integration. If you thrive in a high-velocity environment and are passionate about the intersection of machine learning and quantum computing, we want to meet you.

Responsibilities

  • Design and implement scalable, state-of-the-art neural network architectures tailored for future computing environments.
  • Lead the research and integration of Quantum Machine Learning (QML) algorithms into production pipelines.
  • Collaborate with cross-functional teams to define the technical roadmap for the 2026 product suite.
  • Optimize model inference speeds and reduce computational overhead for edge devices.
  • Establish best practices for AI ethics, transparency, and data privacy in all development cycles.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct rigorous performance benchmarking and model validation studies.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Deep Learning frameworks (TensorFlow, PyTorch, JAX) and MLOps tools.
  • Experience with quantum computing concepts (Qiskit, Cirq) or hardware acceleration (TPU, GPU clusters).
  • Proven track record of leading technical teams and delivering complex systems on time.
  • Strong proficiency in Python, C++, and distributed systems design.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch MLOps System Architecture Leadership

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