Job Details

Embedded Gui Engineer

Seeking an experienced Embedded Gui Engineer to design, develop, and optimize graphical user interfaces for next-generation embedded devices. The role requires strong hands-on expertise with LVGL, Zephyr RTOS, and embedded graphics stacks, working closely with UX, platform, and hardware teams.

Key Responsibilities

• Design and develop embedded GUIs using LVGL and Zephyr RTOS.
• Collaborate with UX teams to evaluate design concepts, build prototypes, and assess feasibility.
• Develop UI assets and workflows using tools such as Figma, ProtoPie, FreeType, emWin, etc.
• Optimize graphics pipelines considering memory, performance, and system constraints.
• Interface with embedded platform software engineers and silicon vendor graphics stacks (e.g., OpenGL, Skia, TouchGFX, VGLite).
• Provide input on component and hardware selection related to 2D/3D graphics performance.
• Participate in system-level architecture, design reviews, and product definition.
• Ensure alignment between development, testing, documentation, and delivery milestones.
• Communicate progress, risks, and dependencies to stakeholders.
• Contribute to continuous improvements in development processes, tooling, and methodologies.

Required Skills & Qualifications

• Bachelor's/Master's degree in Computer Science, Electrical Engineering, Embedded Systems, or related field.
• 5+ years of experience in embedded software, GUI development, or HMI engineering.
• Strong hands-on experience with LVGL and embedded UI frameworks.
• Experience working with Zephyr RTOS or similar real-time operating systems.
• Solid understanding of embedded platforms, compilers, build systems, and version control.
• Experience with GUI/UX workflows, validation, and performance optimization.
• Strong communication, documentation, and cross-functional collaboration skills.
• Ability to manage tasks, timelines, and deliverables in fast-paced environments.

Preferred / Good-to-Have

• Experience designing complete GUI development pipelines (asset creation ? build ? deployment ? automated testing).
• Familiarity with GPU/graphics accelerators and hardware bring-up.
• Exposure to automotive, consumer electronics, medical devices, or IoT products.
• Experience with C/C++, Python, or shell scripting.
• Knowledge of Jira, Confluence, Microsoft Project, or similar PM tools.