Senior Staff Software Engineer, AI Workload Management jobs in United States
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Google · 1 day ago

Senior Staff Software Engineer, AI Workload Management

Google is a leading technology company that develops next-generation technologies impacting billions of users. The Senior Staff Software Engineer will define technical strategies for AI infrastructure, lead integration with orchestrators, and oversee critical system logic development to manage AI/ML workloads at scale.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Define a multi-year technical strategy for AI infrastructure that bridges the gap between high-level business goals and engineering needs, and build the foundational control plane building blocks required to support AI/ML workloads at scale
Lead the integration of infrastructure with industry-standard orchestrators like Kubernetes, Slurm, and Ray to ensure seamless workload management
Oversee the development of critical system logic, including resource scheduling, configuration distribution, and state management for massive clusters
Translate vague requirements into concrete, scalable technical solutions while contributing back to the global open-source community
Scale the engineering organization by mentoring talent into leadership roles, mitigating operational risks, and driving cross-functional alignment with key partners to deliver unified software stacks

Qualification

Software developmentLarge-scale infrastructureTechnical leadershipData structuresMachine learningInfrastructure automationCross-functional collaborationProject managementProblem-solving

Required

Bachelor's degree or equivalent practical experience
8 years of experience in software development
7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture
5 years of experience with design and architecture and testing or launching software products

Preferred

Master's degree or PhD in Engineering, Computer Science, or a related technical field
8 years of experience with data structures and algorithms
5 years of experience in a technical leadership role leading project teams and setting technical direction
3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects
Familiarity with infrastructure automation tools and concepts
Ability to quickly assimilate knowledge in machine learning and AI, with a focus on understanding the underlying hardware and software stacks

Benefits

Bonus
Equity
Benefits

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase