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Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

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.

Our mission is to provide the simplest, fastest, and most reliable path for enterprises to migrate their workloads to Google Cloud, accelerating their digital transformation journey. The team has adopted an AI-first approach, where product features and engineering productivity are centered around AI to increase delivery speed and open new opportunities for product journeys.

The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Lead, mentor, and cultivate a high-performing engineering team. Foster a culture of innovation, psychological safety, and continuous career growth for every team member.
Oversee the team's execution and project life-cycle, ensuring the timely and efficient delivery of high-quality, scalable features in a changing, agile environment.
Advocate a customer-first culture by instilling the highest standards for service reliability, performance, and quality.
Drive our AI-first strategy's evolution from both a management perspective, inspiring the team and a technical one, guiding the practical integration of AI into both our product and our internal development processes.
Resolve technical problems inherent in a large-scale, enterprise-grade migrat

The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog/UVM, or Specman.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Lead coverage measures to identify verification holes and to show progress towards tape-out.

Unity LevelPlay is a leading mediation platform that empowers app developers to optimize ad revenue by seamlessly connecting their apps to multiple ad networks.
At the core of LevelPlay, the LevelPlay Infra team is responsible for the mission-critical, real-time in-app bidding system, which serves billions of ad auction requests per day.

We are looking for an experienced and passionate Staff Backend Software Engineer

to join a rapidly growing team. In this role, you will lead the design and evolution of our large-scale, real-time infrastructure that powers global in-app advertising.

Youll tackle complex engineering challenges and drive the design of systems built for massive scale, reliability, and performance. As a hands-on technical leader, youll influence architecture and implementation decisions that define the future of LevelPlays infrastructure.

This is a great opportunity for experienced professionals who have a strong background in backend development and a deep understanding of large-scale distributed systems. If you're passionate about tackling complex technical challenges and building products that reach a massive global audience, this role is for you.

What you'll be doing
Lead the design and development of large-scale, low-latency, high-throughput systems that power real-time ad bidding and delivery.
Define and drive technical strategy and long-term architecture for LevelPlays core infrastructure.
Collaborate cross-functionally with product, data, and ad network integration teams to deliver impactful solutions that scale globally.
Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
Investigate and resolve complex system challenges, optimizing performance, reliability, and cost efficiency.