Keysight is the world's leading electronic measurement company, helping scientists and engineers address their toughest technical challenges with confidence through innovations in wireless, modular, and software solutions. Our employees leverage their insight and passion to deliver measurement solutions in wireless communications, aerospace and defense, and semiconductor markets with world-class platforms, software and consistent measurement science. This job will be part of the Communications Solutions Group, which is responsible for Keysight's portfolio in the Wireless Data Ecosystem, including wireless devices, operators, internet infrastructure, and Aerospace & Defense. Our software-centric solutions accelerate our customers' time to market and reduce their costs - giving them a competitive advantage in today's and tomorrow's technology waves.
Job Description
This position is for a full-time Software Engineer to join Keysight’s Quantum Engineering Solutions (QES) organization, which is responsible for producing world-leading solutions in quantum technologies, including quantum computing, quantum communications and quantum sensing. As a Solution Developer, you will be part of an R&D team and launch breakthrough software solutions to market. You will engage in every stage of our product development process, addressing intricate technical hurdles in a customer-centric setting, while implementing a novel method for calibrating physical qubits as an Automation Engineer.
Job Responsibilities
- Develop and implement automation tools for qubit calibration.
- Apply machine learning techniques to optimize calibration processes and improve qubit performance.
- Collaborate with quantum physicists and engineers to integrate calibration solutions into quantum hardware.
- Work independently as well as in teams to accomplish business objectives.
Job Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Physics, Electrical Engineering, or a related field with 4-7 years job experience.
- Background in quantum computing and familiarity with qubit calibration methods.
- Strong proficiency in Python programming.
- Solid understanding of graph theory and its applications.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Knowledge of optimization techniques and algorithms.
- Ability to work in a collaborative environment and to develop teamwork among individuals and over geographically disperse teams.
- High tolerance for ambiguity, results-oriented, meets timelines, handles pressure while working positively in a collaborative manner.
- Excellent written and verbal communication skills
- Willingness to learn proactively.
