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Simulator Engineer Jobs in Portland, OR (NOW HIRING)

Operations Research Engineer

Hillsboro, OR · On-site

$149K - $211K/yr

Operations Research Engineers design, develop, and apply advanced engineering and mathematical models, including simulation and optimization frameworks, to drive innovative solutions for complex ...

Senior Analog Design Engineer

Hillsboro, OR · On-site

$220K/yr

Perform circuit analysis, simulation, and verification using industry-standard tools (Cadence ... Mentor junior engineers and provide technical guidance. Collaborate with cross-functional teams ...

CPU Verification Engineer

Hillsboro, OR · On-site

$148K/yr

No one else is obsessed with engineering and has a brighter future. Every day, we create world ... Run system-level simulations to validate functionality, power, and timing, uncovering bugs and ...

Senior Infrastructure and DevOps Engineer

Hillsboro, OR · On-site

$141K - $181K/yr

... s Engineer to design and operate the infrastructure behind large-scale modeling, simulation, and ... Experience supporting data analysis, modeling, or simulation workflows. * Familiarity with EDA ...

Senior Infrastructure and DevOps Engineer

Hillsboro, OR · On-site

$141K - $181K/yr

... s Engineer to design and operate the infrastructure behind large-scale modeling, simulation, and ... Experience supporting data analysis, modeling, or simulation workflows. * Familiarity with EDA ...

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Simulator Engineer information

See Portland, OR salary details

$27

$56

$81

How much do simulator engineer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for simulator engineer in Portland, OR is $56.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $66.01 per hour, depending on experience, location, and employer.

What are Simulator Engineers?

Simulator Engineers are professionals who design, develop, maintain, and optimize simulation systems used to replicate real-world processes or equipment. These simulations are commonly used for training, testing, and research across industries such as aviation, automotive, defense, and healthcare. Simulator Engineers work with both hardware and software components to ensure simulations are accurate, reliable, and meet specific requirements. Their responsibilities often include troubleshooting, upgrading systems, and collaborating with subject matter experts to create realistic training environments.

What is the difference between Simulator Engineer vs Test Engineer?

AspectSimulator EngineerTest Engineer
Required credentialsBachelor's or higher in engineering, specialized training in simulationBachelor's or higher in engineering, quality assurance, or related field
Work environmentDesigning, developing, and testing simulation systems in labs or officesConducting tests on products or systems in labs, manufacturing, or field settings
Employer & industry usageUsed mainly in aerospace, defense, automotive, and training sectorsCommon across manufacturing, software, aerospace, and automotive industries

Simulator Engineers focus on creating and refining simulation systems to mimic real-world scenarios, while Test Engineers primarily evaluate and validate products or systems through testing procedures. Both roles require technical expertise and often collaborate, but Simulator Engineers specialize in simulation development, whereas Test Engineers concentrate on quality assurance and performance validation.

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

To thrive as a Simulator Engineer, you need a solid background in engineering, computer science, or a related field, along with strong analytical and problem-solving skills. Experience with simulation software (such as MATLAB/Simulink, Unity, or similar), programming languages (like C++ or Python), and knowledge of hardware integration are typically required. Excellent communication, teamwork, and project management abilities help you collaborate effectively and manage complex projects. These skills ensure accurate simulation development, smooth project execution, and the ability to meet client or organizational requirements.

What are some common challenges Simulator Engineers face when integrating new technologies into existing simulation systems?

Simulator Engineers often encounter challenges when integrating new technologies, such as ensuring compatibility with legacy hardware and software, minimizing system downtime, and maintaining simulation accuracy. They must also rigorously test new components to meet industry standards and user requirements while collaborating closely with software developers, hardware engineers, and end users to address unforeseen issues. Adaptability and strong problem-solving skills are essential, as Simulator Engineers frequently need to troubleshoot and customize solutions for complex simulation environments.
Systems Performance Engineer, Agentic AI Workloads - New College Grad 2026

Systems Performance Engineer, Agentic AI Workloads - New College Grad 2026

Nvidia

Hillsboro, OR

Full-time

Posted 10 days ago


Job description

NVIDIA is looking for a Deep Learning Architect to join our team working at the cutting edge of AI infrastructure. As agentic LLM workloads reshape the demands placed on modern datacenters, we need engineers who can model, simulate, and reason about complex system-level traffic at scale. If you have a passion for performance analysis, a strong quantitative foundation, and excitement about the future of AI systems, we'd love to talk.


In this role, you will build and run simulations that capture the traffic dynamics of agentic AI workloads, mine the results for actionable insights, and help guide architectural decisions for next-generation datacenter and GPU systems.
What you'll be doing:

  • Develop and extend C++ and Python simulators that model system-level network and compute traffic for agentic LLM workloads in datacenter environments

  • Characterize real-world LLM serving workloads and distill them into representative simulator inputs

  • Run simulations at scale and apply statistical techniques to post-process and interpret results

  • Identify performance bottlenecks and translate findings into concrete architectural recommendations

  • Collaborate with hardware, software, and research teams to influence the design of future AI systems

What we need to see:

  • Pursuing or recently completed a MS, or PhD in CS, EE, Mathematics, or a related field (or equivalent experience)

  • Strong programming skills in C++ and Python

  • Solid foundations in queueing theory and traffic modeling (e.g., Erlang models, Little's Law)

  • Strong statistics background: characterize huge datasets with percentiles, distributions, and clustering techniques such as K-means

  • Understanding of deep learning fundamentals, LLMs, and modern inference serving frameworks

Ways to stand out from the crowd:

  • Hands-on experience with traffic or network simulators, even in an academic or course project context

  • Familiarity with roofline modeling and performance scaling of deep learning models at the kernel level

  • Experience running large-scale simulation campaigns and building data pipelines to process and visualize results

  • Prior work characterizing or benchmarking ML inference workloads

NVIDIA is widely considered one of the technology world's most desirable employers. We work on problems that matter - and we do it with some of the most talented engineers on the planet. If you're analytically sharp, intellectually curious, and ready to have real impact, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993