Staff SWE, Compiler Architect, System Performance Modeling

Job summary

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: - Health, dental, vision, life, disability insurance - Retirement Benefits: 401(k) with company match - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.

Benefits

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++ or Python.
• 5 years of experience testing, and launching software products.
• 5 years of experience with performance, large-scale systems data analysis, visualization
• Experience with hardware/software co-design problems, especially performance analysis and bottleneck identification at the pre-silicon stage.
• Experience with ML system architectures, including knowledge of compilers, Intermediate Representations (IRs), and hardware accelerators.
• Experience enabling and optimizing large-scale ML models (e.g., LLMs, large embedding models).
• Ability to lead technical strategy for complex systems, influencing both simulation toolchains and hardware roadmaps.
• Proven expertise in constructing custom IR dialects and leveraging open-source compiler frameworks (MLIR, XLA) to solve system level analysis and exploring software-hardware mapping opportunities.
• Expertise in architecting high-confidence, high-velocity system performance modeling and correlation infrastructure.
• ABOUT THE JOB
• Goo*** Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent.

Responsibilities

• Establish and maintain high-confidence correlation infrastructure between simulated performance and physical hardware measurements (silicon).
• Architect and evolve the simulation layer to support deep exploration of complex, business-critical workloads (e.g., large language models, advanced kernels) and future system topologies.
• Identify and solve system-level hardware/software bottlenecks and optimization opportunities at the critical pre-silicon stage.
• Provide high-confidence lower-bound performance estimates for future ML systems and architectures.
• Goo*** is proud to be an equal opportunity workplace and is an affirmative action employer.
• We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• We also consider qualified applicants regardless of criminal histories, consistent with legal

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