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Robotics Simulation Jobs in Oregon (NOW HIRING)

Direct experience in Autonomous Vehicles, Robotics, Aerospace, or Gaming simulation environments. * Experience managing vendor SOWs, SLA tracking, and contractor scaling strategy. * Familiarity with ...

Come join the CPU performance architecture team as a Senior System Simulation Architect and help us ... Our technologies power transformative applications across industries - from robotics and autonomous ...

Come join the CPU performance architecture team as a Senior System Simulation Architect and help us ... Our technologies power transformative applications across industries - from robotics and autonomous ...

Create robotic simulations and evaluate system performance, cycle times, and equipment layouts, including use of tools such as FANUC ROBOGUIDE. * Build and test prototype automation systems to ...

Create robotic simulations and evaluate system performance, cycle times, and equipment layouts, including use of tools such as FANUC ROBOGUIDE. * Build and test prototype automation systems to ...

Master Production Scheduler

Salem, OR · On-site

$103K - $133K/yr

About the Role Agility Robotics is seeking to hire a Master Production Scheduler to lead the ... Enable the configuration of simulations based on guidance to explore comparative production ...

Master Production Scheduler

Salem, OR · On-site

$103K - $133K/yr

About the Role Agility Robotics is seeking to hire a Master Production Scheduler to lead the ... Enable the configuration of simulations based on guidance to explore comparative production ...

Senior GPU Functional Modeling Architect

OR · On-site +1

$129K - $175K/yr

Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We ...

Showing results 21-40

Robotics Simulation information

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

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

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What cities in Oregon are hiring for Robotics Simulation jobs?

Cities in Oregon with the most Robotics Simulation job openings:

Infographic showing various Robotics Simulation job openings in Oregon as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution.

Senior Solutions Architect, Industrial Robotics

Nvidia

OR • On-site, Remote

Full-time

Posted 7 days ago


Key responsibilities

  • Engage with customers, partners, and internal teams to support applications and platforms leveraging NVIDIA technology.

  • Document technical knowledge and share it through samples, whitepapers, blogs, or collaborative problem-solving with customers.

  • Partner with industry and account teams to understand customer goals and deliver high-value solutions tailored to their needs.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are looking for a Senior Solutions Architect, Industrial Robotics to engage with customers, partners, and other NVIDIA software engineers to support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software. NVIDIA's platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading North America companies.

Our success has been based on vertical focus industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and our customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers, and senior leaders is an important part of the Solutions Architect role, and will give you experience with a range of partners and concerns.

What you'll be doing: Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Document what you know and teach others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

Be an industry leader with vision on integrating NVIDIA technology into Manufacturing use cases with AI, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge. Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. What we need to see: BS, MS, or PhD in Robotics, Engineering, Computer Science or equivalent experience.

8+ years of work-related experience in robotics, humanoids and AI domains - e.g. VLA, VLM, Transformers, Synthetic Data Generation software development with knowledge of parallel computing with GPUs. Background working with modern application deployment practices, including but not limited to Docker/Containers and Kubernetes

Experience with modern Deep Learning software architecture and frameworks. Strong written and oral communication skills with the ability to effectively collaborate with management and engineering. Experience supporting customers/partners in technical engagements.

Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. Strong analytical and problem-solving skills. Ways to stand out from the crowd: Experience applying AI to robotics and humanoid use cases, such as VLA, VLM training, simulation, and digital twins.

Experience with frameworks like Tensorflow, Pytorch, TRT, and models like Vision Transformer. Background with NVIDIA simulation tooling like: Isaac Sim, Isaac Lab Experience using GPU programming, design practices and profiling tools like Nsight systems AI knowledge and expertise: Deep Neural Network research and development experience with specialized domains Published record of thought leadership in a technical area of simulation, robotics, data generation, AI OR Machine Learning research and development experience with industry data. NVIDIA is widely considered to be one of the technology world's most desirable employers.

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for. Apply today.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 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.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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