Job Description
We are seeking a visionary Senior Quantum AI Engineer to join our elite team in Austin. As we race towards the technological landscape of 2026, you will be at the forefront of integrating quantum computing power with deep learning architectures. This is not just a job; it is an opportunity to define the standard for post-silicon computing.
You will work in a state-of-the-art facility, collaborating with physicists, cryptographers, and neural network specialists to solve problems deemed impossible for classical computers. If you have a passion for pushing the boundaries of what is possible in the year 2026 and beyond, we want to hear from you.
Responsibilities
- Design and implement hybrid quantum-classical algorithms to optimize neural network training speeds.
- Conduct research on quantum error correction and noise mitigation strategies for AI inference.
- Collaborate with hardware engineering teams to interface quantum processors with existing cloud infrastructure.
- Prototype next-generation generative AI models utilizing quantum annealing techniques.
- Lead code reviews and mentor junior engineers in quantum software development.
Qualifications
- Master’s or PhD in Computer Science, Physics, or Mathematics with a focus on Quantum Information Science.
- 5+ years of professional experience in software engineering, specifically with Python and C++.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or Amazon Braket.
- Deep understanding of machine learning models, specifically Transformers and GANs.
- Proven track record of publishing research papers or delivering high-impact technical solutions.