Job Description
At 2026 Systems, we are not merely predicting the future; we are architecting it. We are at the forefront of the post-classical computing revolution, developing next-generation artificial intelligence architectures that will redefine the limits of human potential.
We are seeking a visionary Senior Quantum AI Engineer to join our elite R&D division in San Francisco. In this role, you will bridge the gap between quantum physics and deep learning, leading initiatives that will power the most advanced AI systems of the decade.
If you are passionate about pushing the boundaries of what is computationally possible and want to build the infrastructure for the year 2026 and beyond, we want to hear from you.
Responsibilities
- Design and implement novel quantum algorithms tailored for machine learning and optimization problems.
- Collaborate with cross-functional teams of physicists, software engineers, and data scientists to integrate quantum modules into classical AI pipelines.
- Conduct cutting-edge research on quantum error correction, qubit coherence, and noise mitigation strategies.
- Optimize existing classical deep learning models to run efficiently on hybrid quantum-classical hardware.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Present technical findings and architectural strategies to stakeholders and the broader scientific community.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field with a focus on Quantum Computing or AI.
- 3+ years of professional experience in software development, with a specific focus on Python, TensorFlow, PyTorch, or similar frameworks.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Strong understanding of linear algebra, probability theory, and statistical mechanics.
- Proven track record of publishing research papers or contributing to open-source projects in the AI/Quantum space.
- Excellent problem-solving skills and the ability to work in a fast-paced, high-growth environment.