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Lead AI & Quantum Architect | Chronos Dynamics

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Lead AI & Quantum Architect to join our elite team in San Francisco. As we approach the technological horizon of 2026, the boundaries between artificial intelligence and quantum computing are dissolving. At Chronos Dynamics, we are not just predicting the future; we are building the systems that will define it.

In this pivotal role, you will architect scalable quantum algorithms integrated with classical machine learning models, leading the charge in solving humanity's most complex challenges. You will work in a state-of-the-art facility with world-class researchers and engineers.

Benefits & Perks:

  • Competitive base salary and equity package (ESOP).
  • Unlimited PTO and remote flexibility options.
  • Access to the latest quantum hardware and cloud computing resources.
  • Comprehensive health, dental, and vision insurance.

Responsibilities

  • Architect Advanced Algorithms: Design and implement scalable quantum algorithms integrated with classical machine learning models to solve optimization problems.
  • Lead R&D Initiatives: Spearhead research projects focused on quantum error correction, superposition states, and neural network integration.
  • Technical Strategy: Define the long-term technical roadmap for our AI infrastructure, ensuring alignment with 2026+ technological milestones.
  • System Optimization: Optimize quantum hardware usage to reduce noise and error rates, maximizing computational throughput.
  • Team Leadership: Mentor a high-performance team of software engineers and data scientists, fostering a culture of innovation and excellence.
  • Stakeholder Communication: Translate complex quantum concepts into clear strategies for executive leadership and external partners.

Qualifications

  • Education: PhD or Master's degree in Computer Science, Physics, Applied Mathematics, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or quantum computing (expertise in Qiskit, Cirq, or PyQuil is required).
  • Technical Proficiency: Strong proficiency in Python, C++, and cloud-based quantum computing platforms (AWS Braket, Azure Quantum, Google Cloud Quantum).
  • Problem Solving: Proven ability to tackle abstract mathematical problems and translate them into robust, deployable code.
  • Leadership: Demonstrated experience managing technical teams and leading cross-functional projects.

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow Algorithm Design Cloud Architecture R&D Quantum Supremacy

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