Job Description
Are you ready to define the technology of tomorrow? At Chronos Dynamics, we are pioneering the 2026 technology stack, integrating advanced Artificial Intelligence with next-generation Quantum computing. We are seeking a visionary Senior AI & Quantum Integration Engineer to join our elite R&D team in Austin, Texas.
In this role, you will bridge the gap between neural networks and quantum processors, creating systems that were once thought impossible. You will be at the forefront of the 2026 technological revolution, working on projects that will redefine human-computer interaction and data processing efficiency. If you are passionate about pushing the boundaries of what is possible in software and hardware integration, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that shapes the 2026 roadmap.
- Competitive compensation package with equity options.
- Flexible remote and hybrid work arrangements.
- Access to state-of-the-art quantum computing resources and AI labs.
Responsibilities
- Architect and deploy scalable AI models specifically optimized for quantum hardware environments and hybrid cloud architectures.
- Collaborate closely with hardware engineers to design next-generation neural interface devices and low-latency communication protocols.
- Lead research initiatives focused on the 2026 roadmap for autonomous decision-making systems and predictive analytics.
- Optimize deep learning algorithms for edge computing environments to ensure real-time processing capabilities.
- Mentor junior developers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Ensure compliance with rigorous data privacy standards and ethical AI principles in all system deployments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Electrical Engineering, or a related field with a focus on AI/Quantum.
- Experience: 5+ years of professional experience in AI/ML, with a specific focus on neural networks, deep learning, or quantum algorithms.
- Technical Skills: Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or Qiskit.
- Infrastructure: Strong experience with cloud infrastructure (AWS, Azure, or GCP) in high-scale distributed environments.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems using data-driven approaches.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.