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Information Technology 🏒 Full Time ⭐️ Verified

Generative AI & Quantum Computing Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026. Nexus Future Labs is seeking a visionary Generative AI & Quantum Computing Engineer to architect the next generation of intelligent systems. In this role, you will pioneer the convergence of quantum algorithms and large language models, solving complex problems that were previously thought impossible.

About The Role

As a key member of our R&D division, you will be responsible for developing scalable AI models that leverage quantum hardware to achieve unprecedented computational speeds. You will work in a collaborative, high-performance environment focused on innovation and ethical AI development.

Why Join Us?

Be at the forefront of the AI revolution. You will have the opportunity to work with cutting-edge hardware, mentor top-tier talent, and directly influence the roadmap that shapes the future of technology.

Responsibilities

  • Design and implement quantum-enhanced machine learning algorithms for real-world applications.
  • Develop and fine-tune large language models (LLMs) optimized for quantum computing architectures.
  • Collaborate with cross-functional teams to integrate AI solutions into our flagship 2026 roadmap products.
  • Conduct research on the latest advancements in quantum mechanics and neural networks.
  • Ensure the security, privacy, and ethical use of generative AI systems.
  • Optimize model inference latency on emerging quantum hardware.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • Experience with quantum computing frameworks (Qiskit, Cirq) and quantum simulators.
  • Strong proficiency in Python, PyTorch, TensorFlow, and quantum software stacks.
  • Proven track record in developing Generative AI models (e.g., GANs, Diffusion Models).
  • Experience with cloud infrastructure (AWS, Azure, or Google Cloud) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, experimental environment.

Required Skills

Quantum Computing Generative AI Python Machine Learning Quantum Algorithms PyTorch TensorFlow Cirq Qiskit Cloud Computing

Ready to Take This Challenge?

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