Senior Software Engineer, ML Infrastructure, Control Plane

Google; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Sunnyvale, CA seeks a Senior Software Engineer to help build ML infrastructure and control plane components, focusing on scalable orchestration for AI workloads.

You will collaborate with product and engineering leadership to turn business goals into technical roadmaps, address open-ended architectural problems, and mentor junior engineers while delivering high-impact systems across Google's data centers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of software development experience with multiple languages.
• Experience in software architecture, system design, and distributed systems.
• Experience with Infrastructure as a Service cloud platforms (e.g., GCP).

Responsibilities

• Design and deliver an orchestration layer for Google's AI workloads.
• Partner with executive leadership and cross-functional teams to turn goals into technical priorities.
• Navigate open-ended architectural challenges and contribute to engineering roadmaps.
• Influence technical direction and engineering practices across the Compute Infrastructure group.
• Provide technical guidance and mentorship to a senior engineering team.

Skills

Software development

Distributed systems

Cloud platforms

Programming languages

Education

Bachelor's degree

Equivalent practical experience

Job description

Senior Software Engineer, ML Infrastructure, Control Plane

Google

Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C++, Go, or Python).
• Experience in software architecture, system design, and distributed systems.
• Experience with Infrastructure as a Service (IaaS) cloud platforms (e.g., Google Cloud Platform).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.
• Experience in planning, building, and deploying machine learning infrastructure.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Compute Infrastructure or cluster management system is the cornerstone of Google’s infrastructure—a cluster management system that has powered our global fleet for over 20 years. It is responsible for the optimal scheduling of virtually all ML and non-ML workloads across hundreds of data centers worldwide.

The AI and Infrastructure team is redefining what’s 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design and deliver an orchestration layer for Google's AI workloads.
• Partner with executive technical leadership and cross-functional teams to turn business goals into concrete technical priorities and engineering roadmaps.
• Navigate open-ended architectural challenges and actively contribute to engineering efforts to drive key milestones.
• Influence technical direction and engineering practices across the broader Compute Infrastructure organization to drive consistency and best practices.
• Provide technical guidance and mentorship to a executive engineering team, helping them navigate open-ended architectural issues.

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