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# Senior Performance Co-design Engineer, LLM Training

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Cloud Computing, Computer Programming, Computer Engineering, Hardware Design, Python (Programming Language), Machine Learning, Large Language Models, Information Technology
- **Published:** August 2, 2026
- **Apply:** https://dejobs.org/x/x/91CB168520B1485589C86B1D1874207E/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field or equivalent practical experience.

 * 5 years of experience in performance modeling, computer architecture, or hardware/software co-design.
 * Experience with programming in C++ or Python.

Preferred qualifications:

 * Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
 * Deep understanding of distributed ML training methodologies (data, tensor, and pipeline parallelism).

## Description

* Lead hardware/software co-design and performance modeling for LLM training workloads across current and future generation silicon.
 * Analyze distributed training bottlenecks (compute, memory, networking) for massively scaled 1P and 3P models.
 * Build and enhance modeling infrastructure, simulators, and performance tooling tailored to distributed ML training.
 * Drive data-backed decisions that influence the roadmap for future TPU/Cloud Silicon architectures.
 * Work closely with ML research and compiler teams to optimize training algorithms and influence future hardware design.


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