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Transport Modelling Jobs (NOW HIRING)

Charge transport * Electrostatics * Semiconductor device operation * Semiconductor process technologies * Experience using at least one advanced simulation, modelling, or numerical computing ...

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Modelling consultant

Redmond, WA · On-site

$200K - $300K/yr

You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours. * Shop floor environment, which may include but not limited to ...

Modelling consultant

Redmond, WA · On-site

$200K - $300K/yr

You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours. * Shop floor environment, which may include but not limited to ...

You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours. * Shop floor environment, which may include but not limited to ...

Blackpool Transport is looking for a qualified Financial Accountant to help reshape how finance ... Budgeting, forecasting, cash visibility, financial modelling and clear advice on risks ...

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Transport Modelling information

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How much do transport modelling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for transport modelling in the United States is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $22.36 per hour, depending on experience, location, and employer.

What is transport modelling?

Transport modelling is the process of creating mathematical models to simulate and analyze the movement of people and goods within transportation networks. These models help planners and engineers forecast traffic patterns, evaluate the impact of infrastructure projects, and support decision-making for urban development and policy. Transport modelling uses data on travel behavior, land use, and network characteristics to predict how changes in the system may affect travel demand and congestion.

What are some common challenges faced in a transport modelling role, and how can they be addressed?

Transport Modellers often encounter challenges such as data quality issues, integrating diverse datasets, and managing the complexity of simulation models. Addressing these requires strong analytical skills, attention to detail, and collaboration with data engineers, planners, and local authorities. Staying updated with the latest modelling software and best practices also helps in overcoming technical obstacles. Open communication within multidisciplinary teams ensures that the model outputs align with real-world scenarios and project goals.

What are the key skills and qualifications needed to thrive as a transport modeller, and why are they important?

To thrive as a Transport Modeller, you need strong analytical skills, expertise in mathematics or engineering, and typically a relevant degree in transport planning, civil engineering, or a related field. Proficiency with modelling software such as VISUM, SATURN, or TransCAD, and familiarity with GIS tools and data analysis platforms are essential. Excellent problem-solving, communication, and teamwork skills help in interpreting complex data and conveying findings to stakeholders. These competencies are critical for developing accurate transport models that inform infrastructure planning and policy decisions.

What is the difference between Transport Modelling vs Traffic Engineer?

AspectTransport ModellingTraffic Engineer
Required CredentialsBachelor's or Master's in Transport Planning, Civil Engineering, or related fields; proficiency in modeling softwareBachelor's or Master's in Civil Engineering, Transportation Engineering, or related fields; knowledge of traffic systems
Work EnvironmentFocus on data analysis, simulation, and software modeling; often office-basedFieldwork, traffic studies, and on-site assessments; mix of office and field
Employer & Industry UsageUrban planning agencies, transportation consultancies, government departmentsMunicipalities, transportation agencies, consulting firms

Transport Modelling and Traffic Engineers both work within the transportation industry but focus on different aspects. Transport Modellers specialize in creating simulations and predictive models to analyze transportation systems, while Traffic Engineers focus on designing and managing traffic flow and safety. Both roles often collaborate but require different skill sets and tools.

More about Transport Modelling jobs

What states have the most Transport Modelling jobs?

States with the most job openings for Transport Modelling jobs include:

Infographic showing various Transport Modelling job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $41,891 per year, or $20.1 per hour.

Device Modelling Engineer

Socket.dev

Los Angeles, CA • On-site

$130 - $160/hr

Other

Medical, Dental, Vision, Retirement

Posted yesterday

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Job description

Diraq is developing the world’s most scalable quantum computing architecture by leveraging proven semiconductor manufacturing technologies. We are seeking a talented and motivated Device Modelling Engineer to support the simulation and modelling of next-generation semiconductor quantum devices and enabling technologies.

In this role, you will develop and execute advanced modelling workflows that inform device design, process development, and technology strategy. Working closely with materials scientists, process integration engineers, device engineers, and experimental researchers, you will transform complex engineering questions into simulation studies, generate actionable insights, and contribute directly to critical technology decisions.

This position is ideal for engineers and physicists who enjoy solving challenging multidisciplinary problems through computational modelling, numerical analysis, and data-driven decision-making.

  • Bachelor’s, Master’s, or PhD in Physics, Electrical Engineering, Materials Science, Applied Mathematics, Engineering Physics, or a related technical discipline.
  • Strong analytical and problem-solving skills with the ability to tackle complex technical challenges.
  • Foundational knowledge of semiconductor physics and devices, including:
    • Charge transport
    • Electrostatics
    • Semiconductor device operation
    • Semiconductor process technologies
  • Experience using at least one advanced simulation, modelling, or numerical computing environment such as:
    • TCAD
    • Finite Element Analysis (FEA) tools
    • Electromagnetic simulation tools
    • Python
    • MATLAB
    • Equivalent modelling platforms
  • Experience developing scripts, automating workflows, and analysing large datasets.
  • Understanding of numerical methods, computational modelling techniques, and physical simulation principles.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts to diverse audiences.
Preferred Qualifications
  • Demonstrated contribution to a significant modelling or simulation project in industry, academic research, or postgraduate studies.
  • Experience validating computational models against experimental measurements.
  • Exposure to semiconductor devices, microelectronics, nanotechnology, materials science, or related engineering disciplines.
  • Familiarity with multidisciplinary hardware development environments.
  • Experience working within R&D organizations focused on emerging technologies.
  • Develop, maintain, and improve simulation workflows for semiconductor devices and process technologies.
  • Perform electrostatic, transport, and physics-based modelling of nanoscale semiconductor devices.
  • Evaluate design trade-offs, variability mechanisms, and sensitivity to process changes.
  • Analyze simulation and experimental datasets to identify key performance drivers and engineering opportunities.
  • Validate simulation predictions against measured device performance and refine models accordingly.
  • Collaborate with multidisciplinary teams to support technology development, device optimisation, and product roadmaps.
  • Present technical findings and recommendations to engineering and scientific stakeholders.
  • Contribute to the continuous improvement of modelling methodologies, tools, and automation frameworks.
  • Competitive salary of USD $130,000 - $160,000, based on skills, experience, and qualifications.
  • Equity participation opportunity.
  • Comprehensive health, dental, and vision benefits.
  • Retirement savings program.
  • Flexible work arrangements where business needs permit.
  • Professional development and learning opportunities.
  • The chance to work alongside world-class engineers, physicists, and researchers building transformative technology.
Why Diraq?

At Diraq, you’ll contribute to the development of groundbreaking semiconductor quantum technologies while working in a collaborative and innovative environment. Your work will directly influence the future of scalable quantum computing and help solve some of the most challenging engineering problems in the industry.

We do not require prior experience in quantum computing, semiconductor fabrication, or specific simulation tools. We value strong modelling capability, scientific curiosity, and the ability to learn quickly.

Equal Employment Opportunity

Diraq is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

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