Job Description
We are on a mission to define the technological landscape of 2026 and beyond. As a Quantum AI Research Engineer, you will be at the forefront of merging classical artificial intelligence with cutting-edge quantum computing architectures. This role is critical to our roadmap, focusing on solving complex computational problems that are currently impossible for classical machines.
In this position, you will not just use existing tools; you will help shape the algorithms of the future. We are looking for a visionary thinker who is comfortable navigating the theoretical boundaries of physics and computer science to build practical, scalable AI solutions.
Responsibilities
- Design and implement novel quantum algorithms tailored for machine learning and optimization tasks.
- Collaborate with theoretical physicists to translate quantum mechanical principles into executable code.
- Optimize quantum circuits to reduce error rates and improve qubit coherence times for production workloads.
- Analyze large datasets to identify patterns that can be leveraged for quantum advantage.
- Conduct rigorous testing and validation of quantum hardware integration within our existing cloud infrastructure.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Strong proficiency in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or Amazon Braket.
- Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
- Experience with classical machine learning frameworks (TensorFlow, PyTorch) and distributed systems.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to multidisciplinary teams.