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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Virtual Platform Software Engineer, Annapurna Labs... - **Company:** Amazon.com, Inc. - **Location:** Cupertino, CA, United States - **Experience:** Experienced - **Salary:** $165,200.0 - $223,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), 3d Models, Amazon Web Services, Software Applications, Automation of Tests, C++ (Programming Language), Code Review, Computer Programming, Continuous Integration, Microarchitecture, Software Debugging, Microprocessors, Perl (Programming Language), Firmware, Python (Programming Language), Performance Tuning, Quick EMUlator (QEMU), Release Management, Software Engineering, SystemC, System Software, Systems Integration, Multithreading, Graphics Processing Unit (GPU), Application Specific Integrated Circuits, Pytest, Modeling and Simulation, Build Process, Software Coding, Software Version Control, Programming Languages - **Published:** June 28, 2026 - **Apply:** https://www.juju.com/job/00000000gbyvdh ## About the Role 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. Basic Qualifications - Experience programming languages such as C/C++, Python, Java or Perl - 2+ years writing functional models, virtual platforms, or system-level simulations for hardware (SoCs, ASICs, GPUs, CPUs) - Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture Preferred Qualifications - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience developing for or integrating with QEMU - Experience with SystemC, TLM, or transaction-level modeling - Experience building simulation infrastructure, CI pipelines, or release tooling - Familiarity with Modern C++ (20 and beyond) - Experience with PyTest, GoogleTest, or similar test frameworks - Experience with multi-threaded programming - Familiarity with firmware, driver, or runtime software development ## Description 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 ## Related Videos - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Strange New Worlds: shaping the future of the digital age](https://www.wearedevelopers.com/videos/677-strange-new-worlds-shaping-the-future-of-the-digital-age) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) - [Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere](https://www.wearedevelopers.com/videos/940-unleashing-the-full-potential-of-the-arm-architecture-write-once-deploy-anywhere) - [Agent Smith Gets Hardware: Autonomous IoT Hacking From Debug Port to Cloud API](https://www.wearedevelopers.com/videos/100258-agent-smith-gets-hardware-autonomous-iot-hacking-from-debug-port-to-cloud-api) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)