Home Job Details
Q
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Lead

QuantumLeap Technologies
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Future is Now. QuantumLeap Technologies is pioneering the convergence of Artificial Intelligence and Quantum Computing. We are seeking a visionary Senior AI & Quantum Readiness Lead to architect the next generation of high-performance computing solutions. In this pivotal role, you will bridge the gap between classical machine learning models and emerging quantum hardware, ensuring our clients are prepared for the quantum revolution.

Why Join Us?

  • Work at the forefront of scientific innovation.
  • Competitive compensation and comprehensive benefits package.
  • Flexible remote-first culture.
  • Opportunity to shape the technical roadmap for enterprise quantum adoption.

Responsibilities

  • Architecture Design: Design and implement scalable hybrid quantum-classical algorithms that leverage the unique strengths of both computing paradigms.
  • Integration Leadership: Lead the integration of AI models into quantum infrastructure, ensuring seamless data flow and model fidelity.
  • Error Mitigation: Develop and oversee the implementation of advanced error mitigation and error correction protocols.
  • Technical Roadmap: Collaborate with R&D teams to define the technical strategy and long-term vision for quantum readiness products.
  • Research & Development: Conduct cutting-edge research on emerging quantum technologies and their application to real-world business problems.
  • Talent Development: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years of direct experience in quantum computing or hybrid systems.
  • Technical Skills: Strong proficiency in Python, C++, and experience with quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane).
  • Cloud Proficiency: Deep understanding of cloud computing platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Python Machine Learning Quantum Computing C++ Cloud Architecture System Design Data Science TensorFlow PyTorch

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All