Staff Product Development Engineer, Enterprise

Agilent TechnologiesWashington, DC
Remote

About The Position

Agilent is looking for a highly motivated Product Development Engineer to operate at the enterprise level within the Systems Solutions Center of Excellence. This role combines hands-on systems engineering with cross-business enablement, acting as a technical integrator, enterprise reviewer, and catalyst for innovation across Agilent product lines.

Requirements

  • Bachelor of Science in engineering discipline.
  • Minimum of 8 years of experience in systems, product, or architecture engineering roles within complex product development environments.
  • Demonstrated experience applying systems engineering principles across multiple product domains.
  • Strong systems thinking and problem-solving capability.
  • Ability to collaborate and influence without direct authority.
  • Technical credibility with hardware, software, and systems teams.
  • Communication skills enabling effective engagement with engineers and leaders.
  • Curiosity and openness to applying AI and automation to engineering workflows.

Nice To Haves

  • Master’s degree preferred.
  • Exposure to enterprise or cross-program architecture reviews is a plus.

Responsibilities

  • Contribute to acceleration of the Product Lifecycle (PLC) by applying and reinforcing enterprise systems engineering best practices across business units.
  • Partner with engineering teams and leaders within each business unit to understand product strategies, development challenges, and execution bottlenecks.
  • Support adoption of standardized lifecycle frameworks, requirements practices, and V&V approaches while preserving necessary product-specific flexibility.
  • Act as an enterprise systems engineer, participating in architectural reviews and design decisions across product lines.
  • Support modular architecture adoption through requirements reuse, interface definition, and verification evidence leverage.
  • Assist in analyzing existing architectures and modules to identify reuse, simplification, or redesign opportunities that improve quality, reduce cost, and ease design transfer to manufacturing.
  • Collaborate with engineering and digital teams to pilot AI-enabled process improvements across product development (e.g., requirements reuse, V&V evidence mining, design insights).
  • Help ignite innovation by sharing best practices, emerging technologies, and systems thinking across engineering communities.

Benefits

  • eligibility for bonus, stock and benefits
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