Cisco Senior Director Diagnostics Engineering Common Hardware Group 

United States, California, San Jose 

513429997

The application window is expected to close on: July 20th 8 PM ET 2025

This leader will oversee diagnostic software development and work you're doing aligned with hardware product development, champion operational excellence, and drive innovation. The Senior Director will play a pivotal role in maintaining hardware product quality and implementing continuous improvements, including modernizing diagnostic infrastructure and using the latest AI/ML technologies and methodologies.

Your Impact

Global Strategy and Vision

• Develop and implement a cohesive diagnostics strategy aligned with Cisco’s hardware product development and business objectives.
• Foster a culture of innovation, collaboration, operational excellence, and accountability across global teams.
• Promote and adopt AI technologies to enhance team productivity and efficiency, and generate business insights for product strategy and process improvements.

Diagnostics Development, Quality and Lifecycle Management

• Oversee the design and execution of diagnostics software development and bring-up during New Product Introduction (NPI), while ensuring diagnostic support throughout the product lifecycle.
• Implement rigorous testing and validation processes to deliver reliable, high-quality diagnostic packages for hardware validation and manufacturing production, contributing to Cisco’s overall product quality.
• Drive improvements in diagnostics coverage, usability, debug capabilities, and fault isolation to meet and exceed customer requirements.
• Support production issue resolution and contribute to yield improvements in manufacturing facilities.
• Adopt AI-assisted coding to leverage artificial intelligence in various coding tasks, enhancing productivity and code quality.

Innovation, Continuous Improvement, and Operational Excellence

• Champion innovation and continuous improvement initiatives to enhance productivity, efficiency, and quality while reducing costs.
• Implement advanced cloud-based data collection and analytics frameworks, driving the adoption of AI technologies in diagnostics development, testing, and user applications.
• Leverage AI/ML technologies to generate data insights for business strategy and operational efficiency improvements.
• Establish a flexible and scalable infrastructure with standardized methodologies and processes, ensuring consistent execution across product lines and global teams.

Multi-functional and Cross-Team Collaboration

• Partner with hardware, software, validation, and manufacturing teams to plan, implement, and deliver programs effectively.
• Foster a collaborative environment that drives innovation, alignment, and accountability across functions.
• Promote knowledge sharing, standard methodology adoption, and cross-team collaboration to improve the community advantages of the Diagnostics COE.

Who You Are

Diagnostics Expert: You possess deep expertise in hardware system diagnostics, with a proven track record of delivering complex networking hardware products.

Strategic Problem solver: You can develop and implement forward-thinking strategies that align with organizational goals.

Operational Leader: You excel in managing diagnostic systems across global, complex, and matrixed organizations.

Innovator: You identify and implement powerful solutions to drive quality and efficiency improvements, including latest AI/ML technologies.

Minimum Qualifications

• 12+ years of leadership experience in embedded software development, with a focus on networking hardware system diagnostics.
• Deep technical knowledge at the intersection of software and hardware development, with a solid understanding of large-scale software infrastructure and its application to various hardware architectures, including bootloaders and device drivers
• Proficiency in C/C++, Python, and scripting languages commonly used in diagnostic tools and test automation.
• Strong knowledge of networking hardware systems, including ASICs, FPGAs, CPUs, memory systems, SerDes and high-speed interfaces.
• Knowledge of AI/ML frameworks and their application in anomaly detection, data analytics, and intelligent testing.
• Standard processes for CI/CD pipelines, regression test automation, and release management in hardware-dependent software.

Preferred Qualifications

• Good understanding of manufacturing processes, production testing requirements, test frameworks and automation systems.
• Proficient in AI-assisted coding for software development for productivity, code quality, and accelerated development lifecycle.
• Expertise in engineering product development and lifecycle management.
• Proven ability to lead large-scale transformation initiatives and deliver measurable outcomes.
• Exceptional communication skills, partner management abilities, and executive presence.
• Advanced degree or equivalent experience in Electrical/Computer Engineering, Computer Science, or a related field (preferred)