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STR

Embedded Systems Emulation Engineer

Melbourne, FL

$110K - $151K/yr

Extend and customize existing emulation frameworks (e.g., QEMU) in C/C++ and Python to support new targets, peripherals, and capabilities. * Rehost unknown or sparsely documented firmware by ...

NIO

Staff Simulation Software Engineer

San Jose, CA · On-site

Preferred Qualifications: • Deep expertise in QEMU or simulator architecture and development (contributor or maintainer experience is a strong plus). • Hands-on experience with Linux hypervisors ...

STR

Embedded Systems Emulation Engineer

Arlington, VA

$110K - $151K/yr

Extend and customize existing emulation frameworks (e.g., QEMU) in C/C++ and Python to support new targets, peripherals, and capabilities. * Rehost unknown or sparsely documented firmware by ...

Etched

Chip Simulation Software Engineer

San Jose, CA · On-site

$200K - $250K/yr

Experience developing hardware or system simulations (e.g., SystemC, gem5, QEMU, or custom frameworks). * Experience with custom ML hardware accelerators (e.g., Google TPU) * Experience with firmware ...

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$100.5K

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How much do qemu jobs pay per year?

As of Jul 13, 2026, the average yearly pay for qemu in the United States is $127,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $138,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Qemu position, and why are they important?

To thrive as a QEMU Software Engineer, you need a strong foundation in systems programming, virtualization concepts, and computer architecture, typically supported by a degree in computer science or a related field. Experience with C/C++ programming, Linux environments, version control systems like Git, and familiarity with emulation or virtualization platforms such as QEMU and KVM is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills for collaborating with cross-functional teams. These skills ensure effective design, maintenance, and enhancement of virtualized environments critical for modern IT infrastructure.

What is a Qemu job?

A QEMU job typically involves working with QEMU, an open-source machine emulator and virtualizer. Professionals in this field develop, optimize, or maintain QEMU for use in virtualization, embedded systems, or testing environments. Responsibilities may include writing code, debugging, integrating with hypervisors, or configuring virtual machines. Roles can range from software development to system administration, depending on the specific use case.

What are some common challenges faced by QEMU Software Engineers, and how can they be addressed on the job?

QEMU Software Engineers often encounter challenges related to debugging complex virtualization issues and ensuring compatibility across diverse hardware architectures. Addressing these challenges typically involves deep analysis of low-level code, consistent use of robust testing frameworks, and collaborating closely with upstream open-source communities. Regular code reviews and knowledge-sharing with teammates are essential for overcoming problems and staying current with new developments in virtualization technology. Being proactive about learning and leveraging community resources can also help engineers efficiently resolve technical hurdles and drive innovation in QEMU-based projects.

More about Qemu jobs
What are the most commonly searched types of Qemu jobs? The most popular types of Qemu jobs are:
What states have the most Qemu jobs? States with the most job openings for Qemu jobs include:
What job categories do people searching Qemu jobs look for? The top searched job categories for Qemu jobs are:
Qemu jobs near you
Infographic showing various Qemu job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $127,927 per year, or $61.5 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

Re-posted 18 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,962 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
- 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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Benefits

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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