R Software Operating Manager

• Lead and manage software engineering teams responsible for Keysight IO Libraries and related Connectivity components.
• Drive project planning, risk management, dependency tracking, and stakeholder communication throughout the product lifecycle
• Oversee DevOps and Quality practices and modernization, without direct line reporting, to improve efficiency, quality and product security compliance.
• Champion the adoption of AI-assisted development practices, pursuing increasing value delivery for individuals and for the team as a whole.
• Manage issue escalation from internal partners and customers, ensuring timely resolution and maintaining high product reliability.
• Support long-term platform strategy by aligning software capabilities with future architecture and system integration needs.
• Develop team capability through mentoring, resource planning, and effective workload management across multiple strategic initiatives and various R&D partners.

This role requires an experienced leader in a technical R&D environment. Specific required qualifications include:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering or related field
• 7+ years of experience in relevant software development.
• Experience leading R&D efforts in complex system such as test & measurement or similar hardware-intensive environments.
• Demonstrated track record of delivering complex, multi-disciplinary products end-to-end.
• Experience working with scrum or other agile methodologies.
• Experience leading cross-functional teams where influence without direct authority.
• Experience working with geographically distributed development teams.
• Familiarity with system architecture and hardware/software co-design.
• Fluent English (written and spoken).

Preferred background:

• Experience with IoT, network communications, heterogeneous hardware systems and component software.
• Background in test & measurement, semiconductor ATE, precision instruments, or defense electronics.
• Prior direct line management experience.
• Familiarity with scaled agile frameworks (SAFe or equivalent).
• Experience establishing or maturing agile processes within an R&D organization.
• Practical experience with AI productivity tools in a software development workflow.
• Awareness of cybersecurity principles in the context of instrument or embedded software.
• Experience with multiple platforms and operating systems, including multi-platform systems.
• Experience with Git-based development workflows and issue tracking tools such as JIRA.
• Experience with networking, PICe, USB protocols, and multi-threaded programming is an advantage.

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