Staff Embedded Software Engineer, Virtualization

Join a forward-thinking engineering team working at the intersection of embedded software, virtualization, and next-generation automotive technology. In this senior technical role, you will transform real-world ECU firmware into high-performance virtual devices that run on workstations and cloud infrastructure. Your work will help engineering teams develop, test, and validate vehicle software faster, even when physical hardware is unavailable. You will build virtualization layers, model hardware peripherals, and improve development workflows across multiple vehicle domains. Collaborating with hardware, middleware, and application software specialists, you will shape scalable engineering solutions that bridge the gap between physical systems and software-based environments. This is an opportunity to influence technical architecture, elevate engineering practices, and accelerate the development of software-defined vehicles.

• At least 10 years of hands-on embedded firmware development experience, including substantial experience porting or modifying RTOS-based systems.

• Bachelor’s, master’s, or doctoral degree in Computer Science, Electrical Engineering, or a related technical discipline.

• Expert-level proficiency in C, strong C++ skills, and the ability to write production-quality Python code.

• Deep understanding of real-time operating system fundamentals, including tasks, interrupt service routines, schedulers, queues, and timers, as well as how these concepts map to POSIX user-space primitives.

• Proven experience in embedded systems optimization and low-level debugging, with proficiency in GDB and familiarity with hardware or protocol analyzers.

• Solid knowledge of multithreaded and multicore programming, concurrency, and system-level performance considerations.

• Experience developing software for automotive communication networks such as CAN, LIN, and Ethernet, including user-space interfaces such as SocketCAN.

• Hands-on ownership of Bazel or comparable build systems, along with cross-compilation toolchains for heterogeneous embedded targets.

• Strong communication, analytical problem-solving, and collaboration skills, with the ability to work effectively across multidisciplinary teams in a fast-paced environment.

• A strong interest in virtualization, rapid prototyping, and engineering practices that shorten the path from concept to production.

• Preferred: Experience developing functional peripheral or integrated circuit models using QEMU, Renode, custom stubs, or similar tools.

• Preferred: Familiarity with safety-critical coding standards such as MISRA or CERT and automotive protocols such as DoIP and SOME/IP.

• Preferred: Experience comparing virtual ECU results with physical HIL data to identify and close fidelity gaps.

• Preferred: Exposure to Synopsys Virtualizer Development Kit or comparable virtualization tools.