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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect: AI & Quantum Integration

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to engineer the impossible? Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Integration Engineer to lead our R&D initiatives for 2026 and beyond. In this pivotal role, you will bridge the gap between classical machine learning and quantum computing paradigms, ensuring our solutions are not just future-proof, but revolutionary. We are looking for individuals who thrive in ambiguity and possess the technical prowess to define the standards of tomorrow.

Why Join Us?

We are building the infrastructure for the next era of intelligence. You will work in a state-of-the-art facility, collaborating with top-tier researchers and engineers. Our culture values curiosity, speed, and ethical responsibility in the development of advanced AI systems.

Responsibilities

  • Design and implement scalable AI architectures optimized for quantum hardware environments.
  • Conduct research on advanced neural networks and quantum algorithms to improve computational efficiency.
  • Lead code reviews and mentor a team of high-potential engineers and data scientists.
  • Collaborate with cross-functional teams to translate complex scientific concepts into user-centric products.
  • Ensure data integrity and ethical AI standards across all deployment pipelines.
  • Stay at the forefront of industry trends, including generative AI and decentralized systems.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • Minimum of 5 years of experience in AI/ML engineering, with a strong focus on deep learning frameworks (PyTorch, TensorFlow).
  • Hands-on experience with quantum computing libraries (Qiskit, Cirq) or equivalent simulation environments.
  • Proficiency in Python, C++, and distributed systems.
  • Strong understanding of cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Demonstrated ability to lead technical projects from conception to deployment.

Required Skills

AI Quantum Computing Machine Learning Python PyTorch TensorFlow Qiskit Cirq Docker Kubernetes AWS GCP Deep Learning Neural Networks

Ready to Take This Challenge?

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