AI/ML Software Engineering Manager, Google Home Camera

• Drive the design and maintenance of end-to-end ML deployment pipelines. Lead the team through model evaluation, fine-tuning, data processing, and debugging.

• Manage the critical trade-offs between model performance and hardware constraints (ARM SoCs, DSPs, NPUs). Be responsible for ensuring that ML-powered features respect device power consumption and latency budgets.

• Maintain high engineering standards for C++ development in an embedded context, ensuring scalable, and maintainable firmware and software architectures.

Minimum qualifications:

• Bachelor's degree in Computer Science, Communications, Electrical Engineering, a related technical field, or equivalent practical experience.

• 8 years of experience designing and deploying ML models.

• 3 years of experience in a technical leadership role.

• 2 years of experience in a people management or team leadership role.

• Experience in shipping ML solutions on resource-constrained hardware (Embedded, Mobile, or IoT), with a focus on optimizing for latency, power consumption, and memory footprint.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.

• 3 years of experience working in a matrixed organization.

• Experienced in Linux camera software stack development such as camera driver, hal, framework and application.

• Experience implementing CV algorithms and building automated evaluation pipelines and metrics to ensure model accuracy and reliability in real-world environments.

• Experience in IoT camera and smart home technologies development.

• Proven ability to lead complex ML projects from conceptual design to successful production, providing technical direction for on-device products or solutions.