Job Description
Are you ready to shape the technological landscape of 2026 and beyond?
Nebula Future Labs is seeking a visionary Senior AI & Quantum Integration Engineer to join our elite team in San Francisco. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, architecting systems that solve problems previously deemed unsolvable. We are not just building for today; we are engineering the infrastructure for the future.
Why Join Us?
As a leader in the 2026 Tech Niche, we offer unparalleled opportunities to work on cutting-edge projects that define the next era of computing. You will have the autonomy to innovate, the resources to explore, and the impact to make a global difference.
Key Responsibilities:
- Architect and deploy hybrid quantum-classical algorithms to optimize complex business solutions.
- Collaborate with cross-functional teams to integrate quantum APIs into existing AI/ML pipelines.
- Lead research initiatives into future AI paradigms, specifically focusing on post-2026 technological shifts.
- Develop and maintain scalable software architecture using Python, TensorFlow, and quantum frameworks.
- Mentor junior engineers and contribute to the technical vision of the engineering department.
- Ensure system security, efficiency, and reliability in high-performance computing environments.
Qualifications:
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- 5+ years of professional experience in AI, Machine Learning, or Software Engineering.
- Experience with quantum computing frameworks (Qiskit, Cirq, or similar).
- Deep understanding of neural networks, tensor operations, and optimization algorithms.
- Strong proficiency in Python and modern cloud infrastructure (AWS, Azure, or GCP).
- Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.
Responsibilities
- Architect and deploy hybrid quantum-classical algorithms to optimize complex business solutions.
- Collaborate with cross-functional teams to integrate quantum APIs into existing AI/ML pipelines.
- Lead research initiatives into future AI paradigms, specifically focusing on post-2026 technological shifts.
- Develop and maintain scalable software architecture using Python, TensorFlow, and quantum frameworks.
- Mentor junior engineers and contribute to the technical vision of the engineering department.
- Ensure system security, efficiency, and reliability in high-performance computing environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- 5+ years of professional experience in AI, Machine Learning, or Software Engineering.
- Experience with quantum computing frameworks (Qiskit, Cirq, or similar).
- Deep understanding of neural networks, tensor operations, and optimization algorithms.
- Strong proficiency in Python and modern cloud infrastructure (AWS, Azure, or GCP).
- Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.