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Modeling Simulation Analyst Jobs in Sunnyvale, CA

Simulation Engineer

Sunnyvale, CA ยท On-site

$120 - $165/hr

Cerebras works with leading model labs, global enterprises, and cutting-edge AI-native startups ... Strong debugging, analytical, and problem-solving skills. * Ability to collaborate effectively ...

New

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups ... Strong debugging, analytical, and problem-solving skills. * Ability to collaborate effectively ...

We are the Electrical Simulation CAE Team in Hardware Engineering, and our primary objective is to ... Knowledge of 3D electromagnetic modeling, full-wave solvers, and finite element analysis methods ...

Simulation Engineer

San Carlos, CA ยท On-site

$119.80 - $203.80/hr

... analysis for advanced robotic systems, supporting design decisions across development and ... Develop structural FEA models to assess stress, fatigue, and stiffness. * Correlate simulations ...

You'll build the systems and tools that support closed-loop model testing, synthetic data ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... panel modeling, characterization, and validation On-glass integrated circuit design, simulation and validation Failure mode analysis, root cause investigation, and problem solving New TFT ...

You'll build the systems and tools that support closed-loop model testing, synthetic data ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Performed system identification, modeling, simulation, or other characterization for systems with ... Comfortable with Python, Matlab/Simulink, or other simulation/analysis tools used in feedback ...

... analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance. * Identify, quantify, and reduce ...

... analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance. * Identify, quantify, and reduce ...

... analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance. * Identify, quantify, and reduce ...

... analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance. * Identify, quantify, and reduce ...

Showing results 41-60

Modeling Simulation Analyst information

See Sunnyvale, CA salary details

$45.8K

$118.8K

$169K

How much do modeling simulation analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for modeling simulation analyst in Sunnyvale, CA is $118,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What are the key skills and qualifications needed to thrive as a modeling simulation analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

Is modeling a high paying job?

Modeling simulation analysts often earn competitive salaries, especially with experience and advanced skills in programming, data analysis, and simulation tools. Salaries can vary based on industry, location, and level of expertise, but the role generally offers above-average compensation compared to many entry-level positions.

What does a modeling simulation analyst do?

A modeling simulation analyst develops and runs computer models to analyze complex systems and predict outcomes. They use specialized software and data analysis skills to support decision-making in fields like engineering, defense, or manufacturing, often working with large datasets and simulation tools. The role requires strong analytical skills, attention to detail, and knowledge of modeling techniques and programming languages.

What job categories do people searching Modeling Simulation Analyst jobs in Sunnyvale, CA look for?

The top searched job categories for Modeling Simulation Analyst jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Modeling Simulation Analyst jobs?

Cities near Sunnyvale, CA with the most Modeling Simulation Analyst job openings:

Infographic showing various Modeling Simulation Analyst job openings in Sunnyvale, CA as of June 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $118,838 per year, or $57.1 per hour.

Simulation Engineer

Cerebras

Sunnyvale, CA โ€ข On-site

$120 - $165/hr

Other

Posted 2 days ago

New


Job description

Overview

Cerebras Systems builds the world\'s largest AI chip, 56 times larger than GPUs. This architecture enables industry-leading training and inference speeds, over 10 times faster than GPU-based hyperscale cloud inference services. This speed is transforming the user experience of AI applications, unlocking real-time iteration and increased intelligence via additional agentic computation. Cerebras works with leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras to deploy scale and transform workloads with ultra high-speed inference.

About The Role

As a Software Engineer on the Simulator Team (New College Grad), you will help build and improve the core simulation infrastructure for the next-generation Cerebras Wafer-Scale Engine (WSE). This role spans multiple simulator efforts, including functional simulation and pipeline-accurate simulation, based on team priorities and product needs.

Responsibilities
  • Develop and maintain simulator infrastructure in C++ for next-generation WSE systems.
  • Contribute to both functional simulation (architectural correctness, instruction behavior, and state and memory semantics) and pipeline-accurate simulation (execution behavior, bottleneck analysis, and performance visibility).
  • Build features and tooling that improve kernel developer visibility into correctness and performance.
  • Work with Design Verification and architecture teams to align simulator behavior with hardware specifications and validate design correctness.
  • Build and maintain strong unit, integration, and regression test coverage for simulator quality.
  • Improve simulator runtime performance, scalability, and usability for internal engineering workflows.
  • Debug complex issues that span simulator models, kernels, compiler/runtime interactions, and hardware assumptions.
  • Contribute to code reviews, documentation, and continuous improvement of engineering workflows.
Skills & Qualifications
  • Bachelor\'s or Master\'s degree (or equivalent) in Computer Science, Computer Engineering, or a related field.
  • Strong C++ programming skills and software engineering fundamentals.
  • Solid understanding of computer architecture concepts, including instruction execution, memory systems, and microarchitecture basics.
  • Strong debugging, analytical, and problem-solving skills.
  • Ability to collaborate effectively across software and hardware teams.
Preferred Skills & Qualifications
  • Familiarity with architectural, functional, or performance modeling.
  • Experience with test automation, regression systems, and CI pipelines.
  • Exposure to Python or scripting for tooling and automation.
  • Familiarity with parallel systems, accelerators, or ML/HPC workloads.
Why Join Cerebras
  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it\'s like to work at Cerebras.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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