Software Engineering Manager, Embedded Software
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
- Manage a team of developers to deliver software drivers and tools for silicon validation on the ISP and camera. Manage team project goals, contribute to product strategy and help develop your team.
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role, meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Drive project success by setting the technical goal and roadmap. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Initiate new directions to improve the whole working environment, like better testing, debugging and effective automation.
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development in Embedded domain, data structures, algorithms, and software design.
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in people management.
- 3 years of experience in designing, developing, and testing embedded software drivers.
- Experience in embedded systems development, device drivers, and hardware/software integration.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience with emulation platforms or silicon bring up.
- Experience with Little Kernel, Linux, or Android platform development.
- Experience with ISP, camera, or multimedia domains.
- Experience working with AI tools to enhance the workflow, like automating tests, code generation, document writing etc.