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Systemc Modeling Engineer Jobs (NOW HIRING)

Bolt Graphics

Lead SoC Architect

Sunnyvale, CA · On-site

$200K - $250K/yr

Prior technical leadership experience across cross-functional engineering teams. Technical Skills * System architecture definition * C/C++/SystemC modeling * Performance analysis and simulation * RTL ...

Samsung Semiconductor

Senior Engineer, RTL

San Jose, CA · On-site

$138K - $206K/yr

Support trace-driven power modeling, aligned with C/SystemC workload traces. * Perform synthesis ... Collaborate with software engineers on feature semantics, timing alignment, and model interfaces.

Samsung Semiconductor

Senior Engineer, RTL

San Jose, CA

$138K - $206K/yr

Support trace-driven power modeling, aligned with C/SystemC workload traces. * Perform synthesis ... Collaborate with software engineers on feature semantics, timing alignment, and model interfaces.

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Systemc Modeling Engineer information

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$37K

$87.2K

$136.5K

How much do systemc modeling engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for systemc modeling engineer in the United States is $87,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,500.00 per year, depending on experience, location, and employer.

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

To excel as a SystemC Modeling Engineer, you need strong expertise in digital design, C++ programming, hardware description languages, and a background in electrical or computer engineering. Familiarity with SystemC libraries, simulation tools, and version control systems is typically required, and certifications in hardware modeling or verification can be advantageous. Effective problem-solving, attention to detail, and collaboration skills are essential soft skills that help you stand out. These competencies ensure accurate hardware modeling, efficient verification, and successful integration within engineering teams.

What are some common challenges faced by SystemC Modeling Engineers when collaborating with hardware and software teams?

SystemC Modeling Engineers often navigate the challenge of bridging the gap between hardware and software teams, as they must accurately represent hardware behavior in a way that is both functional for software development and reflective of real-world hardware constraints. Ensuring model fidelity while maintaining simulation performance is a delicate balance, especially when requirements change rapidly. Clear communication and iterative validation with both teams are essential to resolve ambiguities and synchronize development timelines.

What are SystemC Modeling Engineers?

SystemC Modeling Engineers are professionals who use the SystemC language to create high-level models of hardware systems, typically for simulation, verification, and architectural exploration in the electronics and semiconductor industries. They help bridge the gap between software and hardware design by modeling hardware components and behavior at different abstraction levels. Their work enables faster development cycles and analysis of system performance before committing to physical hardware design.

What is the difference between Systemc Modeling Engineer vs Hardware Design Engineer?

AspectSystemc Modeling EngineerHardware Design Engineer
Primary FocusDeveloping system-level models using SystemC for simulation and verificationDesigning and implementing hardware components and circuits
Required SkillsSystemC, C++, hardware architecture, modeling techniquesVHDL/Verilog, FPGA/ASIC design, circuit analysis
Work EnvironmentEmbedded systems, simulation labs, software developmentHardware labs, manufacturing facilities, design teams
Industry UsageElectronics, embedded systems, system architectureConsumer electronics, telecommunications, semiconductor industry

While both roles involve working with hardware and system design, the Systemc Modeling Engineer primarily focuses on creating high-level models for simulation and verification, whereas the Hardware Design Engineer concentrates on designing physical hardware components. Understanding these differences helps in choosing the right career path or job search focus.

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What cities are hiring for Systemc Modeling Engineer jobs? Cities with the most Systemc Modeling Engineer job openings:
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What job categories do people searching Systemc Modeling Engineer jobs look for? The top searched job categories for Systemc Modeling Engineer jobs are:
Systemc Modeling Engineer jobs near you
Infographic showing various Systemc Modeling Engineer job openings in the United States as of May 2026, with employment types broken down into 25% Part Time, and 75% Contract. Highlights an 92% Physical, 6% Hybrid, and 2% Remote job distribution, with an average salary of $87,220 per year, or $41.9 per hour.
Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

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

Amazon

Cupertino, CA • On-site, Remote

Full-time

Posted 8 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,804 frontline employees who took The Breakroom Quiz

7th 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
- 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.

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Hours and flexibility

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About Amazon

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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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