1

Traffic Simulation Engineer Jobs (NOW HIRING)

... optimized AI traffic flows. * Tool Development & Partnership: Interface with simulation tool ... MSc or PhD in Computer Science, Electrical Engineering, or a related field with some specialization ...

Serve as Task Manager or Project Engineer on multiple work orders; support proposals and project ... Perform traffic simulation and capacity analyses using Synchro/SimTraffic, VISSIM, HCS, and SIDRA.

Serve as Task Manager or Project Engineer on multiple work orders; support proposals and project ... Perform traffic simulation and capacity analyses using Synchro/SimTraffic, VISSIM, HCS, and SIDRA.

Serve as Task Manager or Project Engineer on multiple work orders; support proposals and project ... Perform traffic simulation and capacity analyses using Synchro/SimTraffic, VISSIM, HCS, and SIDRA.

What You'll Do As a Simulation Engineer at Inversion, you will focus on developing, automating, and ... Government space technology export regulations, including the International Traffic in Arms ...

Senior Simulation Engineer

Torrance, CA · On-site

$144K - $220K/yr

SENIOR SIMULATION ENGINEER (GLOBAL GROUND/SATELLITE NETWORKS) Northwood is building a global ... Government space technology export regulations, including the International Traffic in Arms ...

Ability to translate abstract, real-world concepts (like traffic rules and driving environments ... Simulation Software: Familiarity with autonomous vehicle simulation platforms (e.g., CARLA, LGSVL ...

Traffic Engineer

Halethorpe, MD

$85K - $115K/yr

... studies, traffic simulation, and conceptual planning/design • Plan sheets, specifications ... engineering works. • Coordinate with Business Development leaders to capture project ...

Ability to translate abstract, real-world concepts (like traffic rules and driving environments ... Simulation Software: Familiarity with autonomous vehicle simulation platforms (e.g., CARLA, LGSVL ...

next page

Showing results 1-20

Traffic Simulation Engineer information

See salary details

$39K

$123.4K

$190.5K

How much do traffic simulation engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for traffic simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a Traffic Simulation Engineer?

A Traffic Simulation Engineer is a professional who uses computer models and simulations to analyze, predict, and optimize traffic flow in urban and transportation systems. They help design and evaluate road networks, intersections, and traffic control strategies by modeling real-world scenarios. Their work supports city planners and engineers in making informed decisions to improve safety, reduce congestion, and enhance overall transportation efficiency.

What is the difference between Traffic Simulation Engineer vs Traffic Data Analyst?

AspectTraffic Simulation EngineerTraffic Data Analyst
Required CredentialsBachelor's in Civil Engineering, Transportation Planning, or related field; knowledge of simulation softwareBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentDesigning traffic models, running simulations, and analyzing traffic flow scenariosCollecting, processing, and interpreting traffic data to identify patterns and trends
Employer & Industry UsageTransportation agencies, urban planning firms, consulting companiesGovernment agencies, transportation departments, research institutions

While both roles involve traffic data, Traffic Simulation Engineers focus on creating models to predict traffic behavior, whereas Traffic Data Analysts interpret existing data to inform decisions. The roles often overlap in transportation planning but serve different functions within the industry.

What are the typical challenges faced by Traffic Simulation Engineers when modeling real-world transportation systems?

Traffic Simulation Engineers often encounter challenges such as ensuring their models accurately reflect real-world conditions, accounting for unpredictable driver behavior, and integrating data from multiple sources. Balancing model complexity with computational efficiency is another common issue, as highly detailed simulations can be resource-intensive. Collaboration with urban planners, data analysts, and software developers is crucial to interpret results effectively and implement solutions that improve traffic flow and safety.

What are the key skills and qualifications needed to thrive as a Traffic Simulation Engineer, and why are they important?

To thrive as a Traffic Simulation Engineer, you need a strong background in transportation engineering or related disciplines, along with expertise in traffic flow theory and modeling. Familiarity with simulation software such as VISSIM, Aimsun, or Synchro, as well as programming skills in Python or MATLAB, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this field. These competencies ensure accurate modeling, insightful analysis, and clear presentation of findings, all of which are crucial for designing effective traffic management solutions.
Infographic showing various Traffic Simulation Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 11% Part Time, 18% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Simulation Test Engineer

Simulation Test Engineer

ALTEN Technology USA

Ann Arbor, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description:

  • We are seeking a Simulation & Scenario Engineer to support Level 3 and Level 4 automated driving development through scenario-based validation and virtual testing.
  • This role focuses on designing, building, and executing complex driving scenarios from scratch in simulation environments, with a strong emphasis on safety, robustness, and edge-case handling.
  • The ideal candidate has hands-on experience in ADAS or autonomous driving simulation and understands system behavior in complex, safety-critical environments.

Education:

  • BS or MS Degree in Computer Science, Robotics, Automotive Engineering, Systems Engineering, or equivalent.

Experience Requirements:

  • 3+ years (Level 3 focus) or 5+ years (Level 4 focus) in ADAS or autonomous driving environments.
  • Proven experience creating simulation scenarios from scratch (not limited to log replay).
  • Strong exposure to scenario-based validation and system behavior evaluation.
  • Experience working within defined ODDs (Operational Design Domains).
  • Safety-related experience (simulation validation, safety analysis, system behavior modeling).
  • Strong Python development experience in Linux environment (CLI-based workflows).
  • Hands-on experience with simulation tools such as:
    • Applied Intuition
    • MATLAB / Simulink
    • CARLA
    • LGSVL Simulator
    • Or equivalent platforms

Key Responsibilities:

  • Design and build autonomous driving simulation scenarios from scratch.
  • Recreate real-world traffic situations across different environments (urban, semi-urban, highway).
  • Configure and control dynamic agents (vehicles, pedestrians, cyclists, traffic actors) programmatically.
  • Develop, modify, and maintain Python scripts to generate and execute simulation pipelines.
  • Execute simulations via command-line interfaces and manage configurations.
  • Assess system behavior with strong focus on:
    • Safety
    • Robustness
    • Edge-case handling
    • Fallback / takeover logic (Level 3)
    • Full autonomy behavior (Level 4)
  • Identify unrealistic, unsafe, or inconsistent behaviors and support corrective improvements.
  • Support validation, verification, and safety compliance activities (e.g., ISO 26262 awareness).
  • Collaborate cross-functionally with perception, planning, controls, and safety teams.
  • Document simulation assumptions, configurations, and validation results.

Profile:

  • Simulation Engineer - ADAS / Autonomous Driving
  • Mid to Senior Level
  • Strong analytical and systems-thinking mindset
  • Safety-oriented and detail-driven
  • Hands-on and technically proactive
  • Comfortable working in fast-paced, agile environments

Must Have:

  • Experience building simulation scenarios from scratch.
  • Strong exposure to ADAS or autonomous driving systems.
  • Solid Python scripting experience.
  • Comfortable working in Linux and command-line environments.
  • Experience configuring and controlling simulation agents programmatically.
  • Understanding of vehicle behavior in safety-critical and complex environments.
  • Ability to debug and modify simulation models and scripts.
  • Experience collaborating in cross-functional engineering teams.

Good to Have:

  • Experience in Level 3 takeover/fallback validation.
  • Experience in Level 4 urban autonomy or robotaxi programs.
  • Exposure to edge-case generation and scenario explosion methodologies.
  • Knowledge of ISO 26262 or automotive safety processes.
  • Experience with perception, planning, or sensor fusion validation.
  • Experience in large-scale simulation automation pipelines.
  • Experience working in global or multicultural teams.
  • Ability to mentor junior engineers.