Embedded BSP Software Engineer

Job Title / Summary: Embedded BSP Software Engineer/Senior Software Engineer (Linux BSP)

Experience: 3 to 8 Years

Job Location: Bangalore/Pune

Role & Responsibilities / What youll do:

• Perform hardware bring-up and low-level debugging of custom hardware based on NXP/nVidia/TI/Renesas chipsets
• Design, develop, and maintain software components across one or more areas of the embedded software stack.
• Develop and enhance Linux support for emerging processor architectures, including Linux kernel features, device drivers, OpenSBI, U-Boot, and Yocto/OpenEmbedded-based build environments.
• Build, customize, and optimize embedded Linux distributions to meet application- and platform-specific requirements.
• Integrate, execute, and extend benchmark suites while developing new performance and functional benchmarks tailored to customer use cases.
• Contribute to the open-source RISC-V ecosystem by enabling new features, improving architecture support, and collaborating with upstream software communities.
• Profile, analyze, debug, and optimize software using simulators, emulators, and production hardware, leveraging RISC-V capabilities such as vector extensions where appropriate.
• Perform comprehensive code reviews to ensure software quality, maintainability, performance, and compliance with project standards.
• Collaborate closely with CPU architecture, hardware, and silicon engineering teams to influence future RISC-V core designs by providing software-driven architectural feedback and identifying opportunities for optimization.
• Create, maintain, and continuously improve technical documentation, software examples, and reference implementations to support internal teams and customers.
• Develop and release software development kits (SDKs), board support packages (BSPs), and associated tools, while working directly with customers to accelerate SoC bring-up, evaluation, and application development.

Required skills / Whom we are looking for:

• 37 years of hands-on experience in embedded Linux software development, integration, and system-level debugging.
• Strong experience developing low-level software in C for Linux, BSD, or similar open-source operating systems, including architecture-specific code, kernel subsystems, or device drivers for multicore and multithreaded platforms.
• Demonstrated contribution to upstream open-source projects, with familiarity in Linux kernel development processes and community-driven software maintenance.
• Proficient in C and/or C++ programming, with a working knowledge of assembly language for low-level debugging and processor initialization.
• Solid understanding of operating system fundamentals, including virtual memory management, interrupt handling, process scheduling, synchronization, and processor privilege modes.
• Experience debugging complex multicore embedded systems using industry-standard tools such as GDB, OpenOCD, Lauterbach, or equivalent hardware debuggers.
• Strong working knowledge of software development tools and workflows, including Git, GNU build tools, Makefiles, cross-compilation toolchains, and Linux shell scripting.
• Experience developing or integrating kernel subsystems related to device drivers, virtualization, IOMMUs, power management, platform security, or other SoC infrastructure components.
• Ability to work effectively with processor architecture, silicon, and hardware engineering teams to resolve system-level issues and optimize platform performance.
• Strong communication skills and the ability to work effectively in a collaborative, cross-functional team environment.
• Detail-oriented with a focus on delivering high-quality, reliable software.
• Self-motivated with a strong passion for embedded AI systems and technology.

Nice-to-haves

• Working knowledge of the RISC-V Instruction Set Architecture (ISA), with familiarity across other processor architectures such as x86_64, Arm64, or comparable CPU platforms.
• Exposure to virtualization technologies, including QEMU, hardware virtualization, or hypervisor-based software development and validation.
• Experience with compiler technologies, including LLVM backends, AI/ML accelerator toolchains, or runtime frameworks responsible for model execution, delegate integration, and hardware acceleration, is highly desirable.
• Familiarity with continuous integration and automated testing practices
• Nice to have Python programming experience