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BetterCloud is seeking an experienced Embedded Systems Engineer IV to lead software development across next-gen hardware platforms. You will own the full software lifecycle for devices, integrating low-level firmware with sensors, edge compute, and cloud services.
You will architect and implement production-grade embedded code on platforms like Raspberry Pi and NVIDIA Jetson, build robust drivers for peripherals, and optimize for edge AI workloads.
As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for our next-generation hardware platforms. You will design, develop, and optimize high-performance software running on a variety of embedded systems—ranging from single-board computers and edge AI compute modules to custom ARM architecture. This role requires a unique blend of scrappy, proof-of-concept rapid prototyping and disciplined, production-grade software engineering. You will own the software lifecycle for new devices, ensuring seamless integration between low-level hardware, sensors, edge computing frameworks, and our enterprise cloud infrastructure.
Ability to read, write, speak and understand English. BS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience). 6+ years' Professional experience in embedded software development, with a proven track record of shipping commercial or industrial hardware productsExpert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation. OS Expertise: Deep experience developing within Embedded Linux environments (including kernel configuration, device tree modification, and custom driver development). Hands-on experience building applications on Raspberry Pi (Linux/Debian) and NVIDIA Jetson (JetPack ecosystem). Solid understanding of hardware communication protocols: SPI, I2C, UART, CAN bus, USB. Experience interfacing with high-resolution image sensors, cameras, or specialized sensors. Proficiency with modern software engineering tools: Git, CMake, Docker, and CI/CD pipelines tailored for embedded targets. Familiarity with networking stacks and IoT communication protocols (TCP/IP, UDP, MQTT, gRPC). Comfortable utilizing lab equipment like oscilloscopes, logic analyzers, and multimeters to debug hardware/software boundary issues. Expert in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase. Nice to Have Technical Competencies Experience with custom Linux distribution builders like Yocto Project or Buildroot. Familiarity with real-time operating systems (RTOS) or bare-metal ARM development. Experience deploying or optimizing machine learning models at the edge. #LI-AM3