Senior Resilience & Climate Adaptation Engineer

Joining Arup

Arup’s purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world. At Arup, you belong to an extraordinary collective – in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas. You will have the opportunity to do socially useful work that has meaning – to Arup, to your career, to our members and to the clients and communities we serve.

Arup is seeking a Senior Resilience and Adaptation Engineer to join a multidisciplinary team of engineers and risk analysts in our San Francisco office. As part of Arup’s core Risk and Resilience team, you will help shape how we quantify, design for, and communicate multi‑hazard risk and resilience in the built environment. You will apply advanced modeling and engineering methods to help clients make informed, risk‑based decisions about building and infrastructure performance, design standards, and investment priorities.

This role offers a unique opportunity to work at the intersection where climate risk and resilience assessment informs adaptation planning and engineering, contributing to projects that improve community safety and resilience to flooding, wildfire, landslides and other natural hazards. You will collaborate with leading experts across Arup’s global network and develop innovative approaches to integrate resilience thinking into real‑world projects.

At Arup, you will have opportunities to deepen your technical expertise and grow as a thought leader in resilience and risk.

• Climate Vulnerability and Risk Assessment
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  Conduct assessments for various asset types and/or communities exposed to climate hazards to identify key risks.
• Adaptation Concept Design and Planning
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  Contribute to or lead concept design processes for adapting buildings, infrastructure, or communities to climate risks, integrating resilience and environmental metrics beyond traditional planning objectives.
• Multi‑Hazard Integration
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  Support the integration of probabilistic hazard data, climate projections, and performance modeling into design and planning projects.
• Project and Task Management
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  Coordinate multidisciplinary project teams, manage scope, budget and deliverables, and ensure technical excellence throughout.
• Research and Innovation
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  Contribute to internal research initiatives, development of digital tools, and publication of thought leadership in the risk and resilience space.
• Client Engagement
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  Build relationships with clients in the public and private sectors, assist with proposal development, and identify new opportunities to advance Arup’s resilience practice.

• Applied innovation
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  Bridge the gap between research and practice by bringing cutting‑edge methods in risk, adaptation, and resilience into real‑world projects.
• Cross‑disciplinary collaboration
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  Work alongside climate experts, data analysts, planners, and civil, structural, and other engineers to develop top‑tier resilience solutions.
• Impactful projects
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  Contribute to landmark resilience efforts ranging from country‑scale infrastructure resilience studies to local adaptation plans for vulnerable communities.
• Global network
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  Access Arup’s global expertise in risk and resilience, including partnerships with leading research institutions and global best practices.
• Innovation culture
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  Contribute to the development of next‑generation tools and methods that advance resilience design and risk quantification.

• Bachelor’s degree in Civil or Structural Engineering expected;
  Master’s degree (or equivalent experience) in engineering/PhD degree preferred.
• At least 6 years of experience expected, with at least 4 years focused in climate risk assessment, applied adaptation planning or related fields.
• Professional certifications:
  Professional Engineering (PE) License in Civil Engineering, or willingness to pursue licensure, is preferred.
• Software experience:
  Hazard or risk modeling experience preferred (e.g., HEC‑RAS, HAZUS), coding experience in Python or similar…