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Simulation Jobs in Austin, TX (NOW HIRING)

Nvidia

Senior System Simulation Architect

Austin, TX · On-site

Come join the CPU performance architecture team as a Senior System Simulation Architect and help us push performance boundaries for NVIDIA's line of CPU products. What you'll be doing: Develop full ...

Nvidia

Senior System Simulation Architect

Austin, TX · On-site

Come join the CPU performance architecture team as a Senior System Simulation Architect and help us push performance boundaries for NVIDIA's line of CPU products! What you'll be doing: * Develop full ...

HiddenLayer

Lead Engineer, AI Attack Simulation

Austin, TX · On-site +1

$101K - $133K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our ...

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Showing results 41-60

All JobsSimulation JobsSimulation Jobs in Austin, TX

Simulation information

See Austin, TX salary details

$10.9K

$67K

$120.4K

How much do simulation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for simulation in Austin, TX is $67,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $78,800.00 per year, depending on experience, location, and employer.

What is a simulation specialist?

A simulation specialist is a professional who designs, develops, and manages simulated environments for training, research, or analysis purposes. They often work in industries such as healthcare, aviation, engineering, or the military to create realistic scenarios that help people practice skills or test systems without real-world risks. Simulation specialists use advanced technology and software to create these interactive models, ensuring they accurately replicate real-life situations.

What are the key skills and qualifications needed to thrive as a simulation specialist?

To thrive as a Simulation Specialist, you typically need a background in engineering, computer science, or a related field, along with strong analytical and problem-solving skills. Expertise in simulation software such as MATLAB, Simulink, or ANSYS, and familiarity with programming languages like Python or C++, are commonly required. Attention to detail, effective communication, and teamwork are essential soft skills for collaborating with cross-functional teams and conveying complex results. These skills and qualifications are crucial for building accurate models, troubleshooting issues, and delivering reliable simulations that inform decision-making.

What are some common challenges faced by simulation professionals when working on complex projects?

Simulation professionals often encounter challenges such as integrating diverse data sources, ensuring model accuracy, and effectively communicating technical results to non-technical stakeholders. Working on complex projects usually involves collaborating with multidisciplinary teams, managing tight deadlines, and adapting models as project requirements evolve. Developing strong problem-solving skills and maintaining clear communication with team members and clients are essential for overcoming these challenges and delivering successful simulation outcomes.

What is the difference between Simulation vs CAD Designer?

AspectSimulationCAD Designer
Required CredentialsEngineering degrees, certifications in simulation softwareEngineering or design degrees, CAD software certifications
Work EnvironmentEngineering firms, manufacturing, aerospaceDesign studios, manufacturing, product development
Industry UsageTesting and analyzing product performanceCreating detailed product models and drawings

Simulation specialists focus on testing and analyzing how products perform under various conditions using simulation software. CAD Designers create detailed 3D models and drawings for manufacturing and design purposes. While both roles require engineering knowledge and software skills, Simulation emphasizes analysis and testing, whereas CAD Design centers on creating precise models for production.

How do you become a simulation engineer?

To become a simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, along with strong skills in programming, modeling, and simulation software such as MATLAB or Simulink. Gaining experience through internships, certifications, or projects involving system modeling and analysis can also improve job prospects.

What careers use simulation?

Simulation is used in various careers such as aerospace engineering, healthcare training, military, automotive design, and software development. Professionals in these fields often work with specialized simulation software and may require skills in modeling, programming, or data analysis to create realistic training environments or test scenarios.

What is a simulation job?

A simulation job involves creating, analyzing, or operating computer-based models that replicate real-world systems or processes. These roles often require skills in programming, data analysis, and understanding of the specific industry, such as engineering, healthcare, or aerospace. Simulation professionals may work with specialized software and often need a background in science or technology.

What are the most commonly searched types of Simulation jobs in Austin, TX?

The most popular types of Simulation jobs in Austin, TX are:

What cities near Austin, TX are hiring for Simulation jobs?

Cities near Austin, TX with the most Simulation job openings:

Simulation jobs near you
Infographic showing various Simulation job openings in Austin, TX as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $67,007 per year, or $32.2 per hour.

Senior C++ Software Engineer - Simulation Infrastructure

Avride

Austin, TX • On-site

Full-time

Re-posted 6 days ago

Job description

About the team

We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company: by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road.

About the role

As a Senior C++ Engineer, you'll help design and build the foundational infrastructure behind our simulation system. You'll write high-performance, reliable C++ code that powers critical simulation workflows and collaborate closely with infrastructure and autonomy teams to ensure correctness, reproducibility, and consistency with on-vehicle software. You'll work on challenges such as running multiple versions of autonomy modules within a single simulation to compare behavior across code revisions. You'll also contribute to tools that analyze simulation behavior and performance, while helping keep the system efficient and cost-effective at scale.

What you'll do
  • Design and implement foundational simulation infrastructure in C++.
  • Ensure simulation runs are correct, reproducible, and efficient.
  • Collaborate with platform and autonomy teams to ensure integration and consistency with real-world deployments.
  • Lead and contribute to design reviews and cross-team technical decisions.
  • Build tools for analyzing performance and debugging system behavior.
What you'll need
  • 5+ years of experience building production-level software.
  • Strong proficiency in modern C++.
  • Experience in benchmarking, profiling, and optimizing complex systems.
  • Familiarity with large-scale or distributed compute environments.
Nice to have
  • Experience using Python for tooling and automation.
  • Familiarity with Bazel - we use it extensively.
  • Background in robotics, simulation, or embedded systems.
  • Experience modeling real-world systems (e.g., physics, sensors, agents, environments).

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