Software Engineering Manager, Android Automotive Ai/ml

Google Google · Big Tech · Kraków, Poland

Software Engineering Manager for Android Automotive AI/ML, responsible for leading teams, setting technical direction, and shipping on-device ML products in the automotive domain. Focuses on integrating Google's AI technologies into vehicles.

What you'd actually do

  1. Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  2. 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.
  3. 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.
  4. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
  5. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Skills

Required

  • software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
  • technical leadership role; overseeing projects
  • people management, supervision/team leadership role
  • object-oriented development
  • embedded systems or Android platform engineering

Nice to have

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

What the JD emphasized

  • leading and shipping on-device Machine Learning (ML) related products or solutions

Other signals

  • Develop platforms and services that bring Google’s ecosystem to vehicles
  • defining the future of Google’s AI technologies
  • leading and shipping on-device Machine Learning (ML) related products or solutions