Responsibilities

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‍We are seeking a versatile Software Engineer to join a dynamic team responsible for designing, building, and delivering custom software solutions. This role is ideal for a practical problem solver who loves solving customers’ engineering problems and someone unafraid of diving into new technologies. If you are excited by the opportunity to work across a broad range of technologies and play a key role in ensuring the highest standards of software quality for our customized solutions in the RF and Digital Test and Measurement market, then this is a role for you.

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You will play a key role to develop custom test automation, data analysis pipelines, FPGA-assisted workflows, instrument control layers, and other tailored solutions that help customers accelerate their product development cycles. If you have solid software fundamentals, and especially if you’re not afraid to dive into new software work flows, you will thrive in this role.

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Key Responsibilities

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1. Design, develop, and deliver custom software solutions tailored to customer test and measurement needs.
2. Create automation frameworks, instrument control applications, and data processing tools across diverse Keysight instruments and platforms.
3. Collaborate directly with customers to understand technical requirements and propose scalable, maintainable solutions.
4. Support the development and refinement of internal tools, libraries, and example applications.
5. Work closely with cross-functional engineering teams (hardware, FPGA, firmware, RF, and systems).
6. Troubleshoot customer issues, provide expert-level software support, and recommend best practices.
7. Contribute to documentation, demos, and knowledge-sharing.

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‍Qualifications

Required Qualifications

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1. Strong problem-solving skills and willingness to work hands-on with hardware and instruments.
2. Ability to communicate complex technical concepts clearly and effectively with customers.
3. Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field.
4. Strong programming skills in Python, C#, C++, or similar languages.
5. Solid foundation for developing applications for engineering or scientific workflows.
6. Solid understanding of software engineering practices: version control, testing, debugging, architecture, etc.
7. Willling to travel for customer engagements and internal trainings and development activities.

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Preferred Qualifications

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1. Familiarity with SCPI programming, or automation interfaces (IVI, VISA, PyVISA).
2. Experience with FPGAs and tools such as Vivado.
3. Experience in a customer-facing or applications engineering role.

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