This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Bring leading-edge SoCs to life by building and evolving the infrastructure that powers our virtual simulation platforms. In this role, you will modernize the simulator codebase, enhance build and packaging systems, and design scalable infrastructure to support distributed, cloud-based, and multi-threaded simulation. While some model development and integration will be involved, your primary impact will be ensuring the simulator itself is robust, maintainable, and scalable—ready to support the next generation of internal and external users. This is a highly visible role with broad technical scope, requiring collaboration across architecture, modeling, software, and external partners to maintain the simulator as a first-class engineering platform.
Job Responsibility:
Evolve the simulator’s core infrastructure, with a focus on scalability, maintainability, and developer productivity
Maintain and improve dependency management and build systems to increase reliability, reproducibility, and performance
Develop and enhance tooling for packaging, deployment, and consumption across multiple environments
Modernize the simulator codebase using current C++ standards and best practices to improve readability, structure, and long-term sustainability
Design and implement infrastructure to support simulation as a cloud-hosted service
Build infrastructure for distributed, multi-host simulation, including coordination, synchronization, and performance optimization
Create tools and frameworks to debug multi-threaded simulation execution effectively
Define processes and infrastructure to simplify integration, validation, and long-term maintenance of third-party and external models
Collaborate with model developers to ensure infrastructure evolves with modeling needs without tightly coupling to specific implementations
Improve simulator stability, observability, and debuggability through enhanced logging, diagnostics, and tooling
Leverage AI-based tools in daily workflows to maximize efficiency and code quality
Requirements:
High-performance systems and application development in C/C++ on Windows and/or Linux
Hardware system architecture and subsystem interface protocols
x86, ARM, or GPU architecture, drivers, and applications
Linux and/or Windows kernel debugging
Functional modeling, architecture simulation, or hypervisor development
Experience with tools such as QEMU, VirtualBox, or SIMICS
Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred