Staff Software Engineer - ML & Large-Scale Systems Lead

Socket.dev; Irvine (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking software engineers to design, develop, and deploy large-scale software solutions across diverse areas including AI, data storage, and distributed systems. You will manage priorities, deliverables, and cross-functional collaboration on high-impact projects.

You will work on ML-related infrastructure, model optimization, and data processing strategies, with opportunities to switch teams as needs evolve. Individual pay includes substantial base, bonus, equity, and benefits.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java or C++.
• 8 years of experience programming in JavaScript or TypeScript.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

Skills

Java/C++

JavaScript/TypeScript

Testing & product launches

Software design & architecture

Data structures & algorithms

Technical leadership

Cross-functional collaboration

LLM prompting

Applied ML

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS/related field

Tools

Back-end systems

ML serving

Job description

Google is seeking software engineers to design, develop, and deploy large-scale software solutions across diverse areas including AI, data storage, and distributed systems. You will manage priorities, deliverables, and cross-functional collaboration on high-impact projects.

You will work on ML-related infrastructure, model optimization, and data processing strategies, with opportunities to switch teams as needs evolve. Individual pay includes substantial base, bonus, equity, and benefits.