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X In most instances, this position requires in-person interviews as part of the hiring process.
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 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 2 years of experience with open source or developer technologies.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- Experience with performance analysis and computer architecture.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 2 year of experience in linux kernel programming.
- Experience with Lustre Parallel File Systems.
- Storage Performance investigations and tuning experience.
- Strong programming ability in one or more languages C; solid understanding of general data structures, and algorithms.
About the jobIn this role, you will optimize Lustre on Google Cloud Platform (GCP) and enable AI/ML customers to bring more of their training and inferencing workloads to GCP, Generative AI, and AI/ML in general, has seen a massive explosion in adoption and application. As a part of this role, you will work with Lustre, a leading parallel file system designed to scale to petabytes of data and deliver massive storage performance to thousands of GPUs for Large Language Model (LLM) training workloads that require high-throughput, low-latency access to large datasets.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Write product or system development code.
- Measure Lustre performance measurements, investigating bottlenecks, and performance improvements, collaborate with teams across GCP to unlock all of Lustre's potential.
- Work with customers on their Lustre deployment to diagnose problems and optimize performance, and help customers profile their workload, and tune it for GCP.
- 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.
- Develop Lustre features that integrate with GCP technologies, enabling customers to bring their AI/ML workloads to GCP, collaborate with partner teams like GKE, GCS, Vertex AI, GCE, etc. to optimize the GCP stack end-to-end.
