Software Engineering Manager, Android Automotive AI/ML

Who you are

You have a Bachelor's degree or equivalent practical experience and at least 8 years of experience in software development using one or more programming languages such as Python, C, C++, Java, or JavaScript. You have spent 3 years in a technical leadership role, overseeing projects, and 2 years in a people management position, demonstrating your ability to lead teams effectively. Your experience includes object-oriented development, particularly in embedded systems or Android platform engineering, which is crucial for this role.

You hold a Master's degree or PhD in Engineering, Computer Science, or a related technical field, which complements your extensive experience. You have worked for 3 years in organizations that involve cross-functional or cross-business projects, showcasing your ability to collaborate across different teams. Your technical leadership experience includes leading project teams and setting technical direction, ensuring that projects align with organizational goals.

Your background in the automotive industry is a significant asset, as you have experience leading and shipping on-device Machine Learning (ML) products or solutions. You possess strong collaboration skills, enabling you to deliver results and hire talented engineers who will contribute to the team's success. You understand the importance of optimizing code and guiding your team to do the same, ensuring high-quality outputs.

What you'll do

As an Engineering Manager at Google, you will lead a team of software engineers focused on Android Automotive AI/ML projects. You will manage project goals, contribute to product strategy, and help develop your team, ensuring they have the support and resources needed to succeed. Your role will involve designing, guiding, and vetting system designs within the broader scope of the organization, addressing ambiguous problems with innovative solutions.

You will review code developed by other engineers, providing constructive feedback to ensure adherence to best practices, including style guidelines, accuracy, testability, and efficiency. Your leadership will be pivotal in fostering a collaborative environment where engineers feel empowered to optimize their work and contribute to the team's objectives.

You will also be responsible for setting the technical direction of projects, ensuring alignment with Google's ambitious goals. Your ability to collaborate with cross-functional teams will be essential as you work on complex projects that require input from various stakeholders. You will help shape the roadmap to meet anticipated future requirements and infrastructure needs, ensuring that your team is well-prepared for upcoming challenges.

What we offer

At Google, you will be part of a dynamic team that is at the forefront of technology and innovation. We offer competitive compensation and benefits, including opportunities for professional growth and development. You will work in an environment that encourages collaboration and creativity, allowing you to make a significant impact on the future of automotive technology.

We believe in supporting our employees' well-being and work-life balance, providing flexible working arrangements and a culture that values diversity and inclusion. Join us in shaping the future of AI and machine learning in the automotive industry, where your contributions will help drive advancements that benefit users worldwide.