Sr Staff Engineer, Virtual Platform Engineering

The ideal candidate is a hands-on technical leader who combines deep embedded software expertise with system-level architecture skills .

They will play a key role in advancing SF2 from individual proof-of-concept environments toward reusable, automated, and scalable virtual-product solutions, enabling software teams to develop and validate applications earlier in the product lifecycle.

Job Responsibilities Design and deliver scalable virtual platforms for MCU/MPU and SoC products.

Lead integration of virtual hardware, firmware, operating systems, and development tools.

Enable pre-silicon software development, debugging, validation, and testing.

Build reusable platform, automation, and CI/CD frameworks across product programs.

Drive cloud-based deployment and Renesas 365 enablement for virtual platforms.

Collaborate across modeling, firmware, verification, tools, and cloud teams.

Provide technical leadership, architecture guidance, and engineering best practices.

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering , or a related technical discipline.

Strong experience in embedded software development and architecture , with advanced proficiency in C/C++, Python, and MCU/MPU-based systems.

Demonstrated ability to provide technical leadership across complex, cross-functional engineering initiatives , translating system-level requirements into scalable software architectures.

Strong understanding of embedded operating systems, BSP/FSP, device drivers, development tools, debugging, validation, and software integration.

Excellent analytical, problem-solving, communication, and collaboration skills, with the ability to influence technical direction across multiple engineering teams.

Preferred Experience Experience with virtual platforms, SystemC modeling, or simulation-based software development and validation .

Familiarity with RTOS environments such as FreeRTOS , including software enablement and application-level validation.

Experience establishing reusable software, validation, and automation frameworks across multiple MCU/MPU or SoC programs.

Knowledge of CI/CD, automated regression testing, Linux development environments, containers, and cloud-native development infrastructure .

Experience with developer workflows involving build, debug, trace, performance profiling, simulation, and remote development environments .

Experience enabling pre-silicon software development or integrating firmware with virtual hardware/modeling environments.

Exposure to cloud-based development and deployment environments for scalable virtual-product delivery.