AI/ML Performance Engineer – GenAI on GCP

Google LLC; Sunnyvale (CA); On-site; USD 147,000 - 211,000; Full time

Benefits offered by this job

Health insurance

Job summary

Google LLC in Sunnyvale, CA is seeking software engineers to join teams building next-generation systems that scale to billions of users. You will work on projects across AI, ML, distributed systems, and data storage, collaborating with product, design, and engineering peers to deliver high-impact solutions.

The role offers the chance to contribute to GenAI-related initiatives, optimize performance on GPUs/TPUs, and advance large-scale ML workloads.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years programming in Python, C++, or Java.
• 1 year experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
• Experience in performance optimization, including profiling, debugging, and efficiency of large-scale systems.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Bachelor’s degree or equivalent pr

2 years programming in Python, C++, or

1 year with TensorFlow/PyTorch/JAX

Performance optimization (profiling,…

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD in CS or related field

Job description

Google LLC in Sunnyvale, CA is seeking software engineers to join teams building next-generation systems that scale to billions of users. You will work on projects across AI, ML, distributed systems, and data storage, collaborating with product, design, and engineering peers to deliver high-impact solutions.

The role offers the chance to contribute to GenAI-related initiatives, optimize performance on GPUs/TPUs, and advance large-scale ML workloads.