Google
Software Engineering Manager II, Kubernetes
Google, Kirkland, Washington, United States, 98034
Minimum qualifications:
Bachelor's degree or equivalent practical experience.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 managing Kubernetes deployment.Experience working with customers on public cloud.Experience working with early stage hardware platforms.Experience running industry standard AI/ML workloads (e.g., NeMo Megatron, MLPerf, LLaMa 2), or similar.Preferred qualifications:
Master's degree or PhD in Computer Science, or a related technical field.3 years of experience working in a complex, matrixed organization.Experience in working under tight deadlines and prioritizing work to meet business goals.Experience in managing customer reported issues.Experience with Google Kubernetes Engine (GKE) or Slurm.Experience with Linux system administration.About the job
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.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Responsibilities
Participate in bring-up activities for the latest GPUs and CPUs, validating correct and performant behavior.Understand the factors that impact application performance such as memory and network bandwidth, network latency, concurrency, I/O performance, compute-bound vs network bound vs I/O bound applications, etc.Be able to run experiments to determine causes of application failure or slowdown and apply mitigations to improve performance.Define requirements for new products, and define and validate how those products can benefit AI/ML and High Performance Computing (HPC).
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Bachelor's degree or equivalent practical experience.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 managing Kubernetes deployment.Experience working with customers on public cloud.Experience working with early stage hardware platforms.Experience running industry standard AI/ML workloads (e.g., NeMo Megatron, MLPerf, LLaMa 2), or similar.Preferred qualifications:
Master's degree or PhD in Computer Science, or a related technical field.3 years of experience working in a complex, matrixed organization.Experience in working under tight deadlines and prioritizing work to meet business goals.Experience in managing customer reported issues.Experience with Google Kubernetes Engine (GKE) or Slurm.Experience with Linux system administration.About the job
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.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Responsibilities
Participate in bring-up activities for the latest GPUs and CPUs, validating correct and performant behavior.Understand the factors that impact application performance such as memory and network bandwidth, network latency, concurrency, I/O performance, compute-bound vs network bound vs I/O bound applications, etc.Be able to run experiments to determine causes of application failure or slowdown and apply mitigations to improve performance.Define requirements for new products, and define and validate how those products can benefit AI/ML and High Performance Computing (HPC).
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