Staff Pavement Engineer

February 3, 2026
Application ends: July 30, 2026
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Job Description

Collaborative Job
Position: Staff Pavement Engineer
Company: ARA

Job Brief

about the job

ara is seeking a staff pavement engineer with a focus on pavement engineering and data science to join our growing transportation division. this is a full-time position in our ventura, ca office. at ara, you’ll be part of a collaborative, innovative, and mission-driven team. we support engineers who want to grow technically, contribute to high-quality deliverables, and evolve into subject matter experts.. . the staff pavement engineer will help transform pavement evaluation data into actionable engineering and asset-management decisions. you’ll work at the intersection of nondestructive pavement testing, data science/ai, and mechanistic-empirical pavement design, contributing to research and consulting projects for state dots, local agencies, and federal sponsors. this role is ideal for someone with hands-on experience using traffic speed deflection devices (tsdd) and falling weight deflectometer (fwd) data and a passion for building data-driven and ai-based tools that improve infrastructure decisions.. . what you’ll do as a staff pavement engineer. .

Experience
Professional Track Record of 2 Years is required

Job Detail
  • Import, process, and analyze TSDD, FWD, ground penetrating radar (GPR), and other pavement condition datasets; develop quality-control workflows and automate repeatable analytics
  • Derive network- and project-level structural indicators, remaining life estimates, and treatment triggers; support pavement management system strategy development
  • Build predictive and mechanistic-informed models (e
  • g
  • , performance forecasting, transfer functions, layer moduli backcalculation pipelines) using Python and modern machine learning frameworks
  • Leverage large language models/AI to accelerate data cleaning, metadata extraction, report drafting, proposal writing, and interactive Q&A over large engineering document sets and databases
  • Conduct applied research and consulting work in pavement and geotechnical engineering, including design, analysis, materials testing, and condition evaluation
  • Integrate and visualize results in geographic information systems (GIS) and dashboards for internal teams and client stakeholders
  • Support mechanistic-empirical pavement design tasks; prepare inputs and interpret results from AASHTOWare Pavement ME Design (PMED)
  • Contribute to proposals, technical reports, and client presentations; present findings at industry conferences and other venues
  • Participate in field investigations (periodic travel) to support data collection, validation, and client coordination
  • Collaborate with senior engineers and subject matter experts while developing toward independent technical leadership on research and consulting workstreams


  • Staff Pavement Engineer Requirements

    BS in Civil Engineering (Pavements/Transportation/Geotechnical) or closely related discipline with 2 years of relevant experience or advanced degree
  • Academic, internship, and/or professional experience in areas such as pavement design, pavement condition evaluation, pavement management, and pavement preservation
  • Direct experience working with TSDD and FWD data (collection, processing, interpretation, or model development)
  • Demonstrated capability in data-driven pavement engineering (e
  • g
  • , forecasting, network optimization, treatment selection, or decision support)
  • Clear, concise technical writing and presentation skills
  • Strong analytical, organizational, and problem-solving abilities
  • Demonstrated ability to work independently and collaboratively on multi-disciplinary teams


  • Preferred Qualifications

    Knowledge of PMED and mechanistic-empirical pavement design workflows (traffic, climate, materials, calibration/interpretation)
  • Proficiency in Python for data wrangling, analysis, and model development; familiarity with R a plus
  • Experience with GIS (ArcGIS/QGIS) and geospatial data workflows
  • Practical use of LLMs/AI to solve pavement engineering problems
  • Familiarity with pavement management system tools/workflows; exposure to large-scale network datasets and agency decision processes
  • Prior research experience, including publications or presentations
  • EIT (or ability to obtain within 6 months); intent to pursue PE licensure within ~2 years
  • Familiarity writing proposals or grants


  • Salary & Benefits

    The anticipated salary range for this position is $75,000 to $85,000/year, depending on education and experience


  • ARA offers competitive benefits that address our employees’ needs now and in the future
  • Learn more about each of our benefits at two sample outputs (e
  • g
  • , report excerpt, dashboard screenshot, or code snippet) demonstrating your pavement data analysis work


  • About ARA

    ARA is an employee-owned international research and engineering firm recognized for solving complex challenges in the physical sciences
  • We provide cutting-edge services in civil and geotechnical technologies, pavement analysis, software and simulation, environmental testing, and defense systems


  • As an employee-owned company, ARA fosters a culture of innovation, collaboration, and ownership
  • Our motto — “Engineering and Science for Fun and Profit” — captures the spirit of our work: technically challenging, impactful, and rewarding


  • Join us and help shape the future of transportation infrastructure
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