Senior Staff Software Engineer, Compilers, Research, Core ML

1 Month ago • 8-15 Years • Artificial Intelligence • $248,000 PA - $349,000 PA

Job Summary

Job Description

Google is seeking a Senior Staff Software Engineer to contribute to their Core ML organization. This role involves research in compilers and performance optimization for machine learning systems, focusing on efficient ML execution across diverse hardware. Responsibilities include developing ML compilation approaches, compiler architecture, leading high-impact projects, and designing, developing, testing, deploying, and maintaining software solutions. The ideal candidate possesses extensive experience in software development, machine learning algorithms, software architecture, and compiler technology. Collaboration with academia and cross-functional teams is essential.
Must have:
  • 8+ years software development experience
  • 7+ years ML algorithm experience
  • 5+ years design & architecture experience
  • Compiler & ML compiler expertise
  • Strong problem-solving skills
Good to have:
  • Master's/PhD in CS or related field
  • Technical leadership experience
  • Cross-functional project experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
  • 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in an organization involving cross-functional, or cross-business projects.
  • 3 years of experience working with compilers, ML compilers, performance, and general optimization techniques.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Core ML organization is responsible for developing ML infrastructure and execution around key ML efforts within Google.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Engage in research on compilers and performance opportunities in systems, compilers, and ML.
  • Explore solutions and establish connections to academia.
  • Develop ML compilation approaches and compiler architecture that handles heterogeneous hardware for efficient ML execution.
  • Provide technical leadership on high-impact projects.
  • Design, develop, test, deploy, maintain, and enhance software solutions.

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