Software Engineering Manager - Android Automotive AI/ML

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 and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance, development and provide feedback and coaching.
Develop the mid-term technical direction and roadmap within the scope of the teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Bachelor’s degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Experience with object-oriented development, with a focus on either embedded systems or Android platform engineering.

Master's degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in an organization involving cross-functional, or cross-business projects.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with software development in the automotive industry.
Experience with leading and shipping on-device Machine Learning (ML) related products or solutions.
Ability to collaborate, deliver results and hire engineers.

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