R&D Operating Manager – Signal Generation

Overview:

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our \~16,800 employees create world\-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award\-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry\-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are looking for an experienced R\&D Operating Manager to lead the development of next\-generation high\-speed signal generation instruments. This is a project management\-primary role embedded within the software organisation, with responsibility for full product delivery — from concept through customer release — across both software and hardware streams.

You will directly manage a team of software engineers and FPGA gateware developers. The software team builds sophisticated Windows\-based instrument software with characteristics typical of embedded and firmware development; the gateware team develops the logic running on the instrument’s FPGAs. While hardware engineers will not report to you on a direct line basis, you will lead them day\-to\-day and carry full accountability for hardware delivery milestones. A hardware systems architect will provide technical guidance to the hardware team. You will also collaborate with a measurement applications development team based in India.

This role requires a technically grounded manager who is equally comfortable owning a complex project plan and developing the people on their team. You will play an active role in maturing our scrum\-based development processes and in driving adoption of AI productivity tools and cybersecurity practices across the organisation.

Responsibilities:

• Own end\-to\-end NPI delivery for a next\-generation signal generation platform, including hardware and software milestones, across a cross\-functional team


• Lead, develop, and support a direct team of software and FPGA gateware engineers


• Drive project planning, risk management, dependency tracking, and stakeholder communication throughout the product lifecycle


• Lead hardware engineers day\-to\-day without direct line authority, ensuring integrated delivery of the full product


• Collaborate effectively with the measurement applications team in India, aligning scope, schedules, and technical interfaces


• Actively contribute to the evolution of the team’s scrum\-based development process and its scaling across the organisation


• Champion the adoption of AI\-assisted development practices and ensure cybersecurity is treated as a first\-class concern in the product and its development process


• Report project status and escalate risks to your manager and relevant stakeholders

• Master’s degree in Electrical Engineering, Electronics, Computer Engineering, Technical Computer Science (Technische Informatik), Physics, or a closely related field


• Typically 10\+ years of post\-degree experience in R\&D or product engineering environments


• Demonstrated track record of delivering complex, multi\-disciplinary products end\-to\-end, including hardware and software components


• Experience working with scrum or other agile methodologies; a genuine commitment to agile ways of working is essential


• Sufficient hardware\-level understanding to engage credibly with hardware engineers, assess technical trade\-offs, and own delivery accountability across hardware streams


• Experience leading cross\-functional teams where influence without direct authority is required


• Experience working with geographically distributed development teams


• Fluent English (written and spoken)

• Prior direct line management experience


• Background in test \& measurement, semiconductor ATE, precision instruments, or defence electronics


• Familiarity with scaled agile frameworks (SAFe or equivalent) is an advantage


• Experience establishing or maturing agile processes within an R\&D organisation


• Practical experience with AI productivity tools in a software development workflow


• Awareness of cybersecurity principles in the context of instrument or embedded software


• Conversational German

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