EmbeddedLinux Senior Software Engineer - Optimisation Home based - Worldwide Work across the full Linux stack from kernel through GUI to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon. The role is a fast-paced, problem-solving role that's challenging yet very exciting. The right candidate must … are looking for in you You love technology and working with brilliant people You have a Bachelor's degree in Computer Science, STEM or similar You have experience with Linux packaging (Debian, RPM, Yocto) You have experience working with open source communities and licences You have experience working with C, C++ You can work in a globally distributed team … of networking - TCP/IP, DHCP, HTTP/REST Basic understanding of security best practices in IoT or server environments Good communication skills, ideally public speaking experience IoT/Embedded experience - from board and SoC, BMCs, bootloaders and firmware to OS, through apps and services Some experience with Docker/OCI containers/K8s What we offer you Your More ❯
London, England, United Kingdom Hybrid / WFH Options
Canonical
Social network you want to login/join with: EmbeddedLinux Software Engineer, London col-narrow-left Client: Canonical Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 4f84aff880dc Job Views: 9 Posted: 17.06.2025 Expiry Date: 01.08.2025 col-wide Job Description: This role is one of our general tracks. … Apply here for all engineering teams at Canonical who work on low-level system technology and embedded systems, across all seniority levels. We hire careful and conscientious engineers who appreciate the challenge of memory, performance, battery and connectivity constrained code that has to work every time in an unreliable and unforgiving world, on x86, ARM or RISC-V silicon. … Canonical Ubuntu is the leading Linux for software engineers, desktops, cloud and IoT. We bring open source to the world as a high-performance, safe and secure platform for enterprise computing, software engineering, and connected devices. These smart, connected devices have the potential to transform every industry. Classic Ubuntu – desktop or server – is widely used in embedded systems More ❯
London, England, United Kingdom Hybrid / WFH Options
IONATE
K - Full-time - London/Hybrid IONATE is a deep technology start-up building the technology backbone for smart grids. Our team is looking for a Senior Embedded Software Engineer who will be responsible for developing and implementing real time software, taking concepts through to commercial product for customers. £65-80K - Full-time - London/Hybrid IONATE … is a deep technology start-up building the technology backbone for smart grids. Our team is looking for a Senior Embedded Software Engineer who will be responsible for developing and implementing real time software, taking concepts through to commercial product for customers. Requiring extensive knowledge and experience in embedded software development, this position will involve working with … our hardware and software team. With a focus on real-time embedded firmware development, you will be actively contributing to in analyses, design reviews, simulations, technical discussions, verification and validation processes. You will need an innovative approach to engineering with well-grounded reasoning and experience. Importantly you will contribute to live ongoing projects and test activities and work with More ❯
London, England, United Kingdom Hybrid / WFH Options
Qualcomm
by health and wearable organizations, industrial organizations, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike. Primary Responsibilities Our embedded engineering team enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. We believe that machine learning will enable the valuable use of … to cost, bandwidth or power constraints. Our framework provides data ingestion, labeling, training, and deployment capabilities to accelerate developer success with ML on the edge. Expand the fleet of embedded edge devices that support machine learning Develop code that enables Edge Impulse Machine Learning onto embedded devices using modern software development and deployment tools Connect sensors (image, audio … motion) to Edge Impulse applications Develop algorithms for data/image processing Improve/develop tooling that connects an embedded system to a larger system Drive solutions forward with an ownership mindset working effectively both independently and as a member of a distributed team Preferred Skills and Experience Experience bringing creative solutions to challenging problems and working hands-on More ❯