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Remote Modeling Simulation Engineer Jobs in Santa Clara, CA

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Develop, refine, and evaluate prompts for AI models. * Conduct quality assurance and rubric-based ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Develop, refine, and evaluate prompts for AI models. * Conduct quality assurance and rubric-based ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems. * Mentor engineers and researchers while cultivating a technical ...

Scout AI

Senior AI Engineer

Sunnyvale, CA · On-site +1

$122K - $168K/yr

... the stack: model training and evaluation, reinforcement learning, evaluation and simulation ... Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard ...

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Remote Modeling Simulation Engineer information

See Santa Clara, CA salary details

$45.8K

$144.9K

$223.7K

How much do remote modeling simulation engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote modeling simulation engineer in Santa Clara, CA is $144,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $172,100.00 per year, depending on experience, location, and employer.

What is a remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

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

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

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

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

What are the most commonly searched types of Modeling Simulation Engineer jobs in Santa Clara, CA?

The most popular types of Modeling Simulation Engineer jobs in Santa Clara, CA are:

What are popular job titles related to Remote Modeling Simulation Engineer jobs in Santa Clara, CA?

For Remote Modeling Simulation Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Modeling Simulation Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Modeling Simulation Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Modeling Simulation Engineer jobs?

Cities near Santa Clara, CA with the most Remote Modeling Simulation Engineer job openings:

Remote Modeling Simulation Engineer jobs near you

Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Amazon

Cupertino, CA • On-site, Remote

Full-time

Re-posted 24 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon.

We're looking for a software engineer to build and own the models and infrastructure that make this possible.
What you'll do:
- Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams
- Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation
- Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently
- Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation
- Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity
- Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale
- Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs
Why this role is interesting:
- You'll own a product that software teams across AWS depend on - they literally can't start development without your virtual platform
- The engineering challenges are genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale
- You'll see the direct impact of your work when software teams hit the ground running on new silicon
- As the team grows, there's a path into architectural modeling - using the platform to explore design alternatives and influence chip architecture
- Small team, startup pace, big impact inside AWS's custom silicon org
You will thrive in this role if you:
- Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs
- Think of yourself as a software engineer first, with deep domain knowledge in chip architecture
- Are comfortable in C++ or SystemC, and familiar with Python for tooling
- Care about your customers' experience - you think about usability, documentation, and reliability, not just model accuracy
- Are interested in expanding into performance or architectural modeling as the team scales
- Enjoy working on a small, high-impact team where you own significant pieces of the stack
No ML background needed. You'll learn the ML accelerator domain on the job.
This role can be based in Cupertino, CA or Austin, TX.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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