Jobs / Lam***
Staff Software Engineer - Infrastructure Storage
Lam*** · San Jose, CA, United States
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San Jose, CA, United States314,000-465,000 USD/yearlyRemote
Remuneration
314,000-465,000 USD/yearly
Location
San Jose, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Lam***, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lam***'s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
Qualifications
- We are seeking a seasoned Staff Storage Software Engineer with deep experience designing and deploying storage protocol solutions at scale across object, block, and file paradigms.
- gathering and system design through deployment, monitoring, and long-term maintenance.
- Build and maintain tooling for storage benchmarking, performance profiling, and capacity planning.
- Collaboration
- Partner with the control plane and Kubernetes teams to meet customer and product
- for usability, reliability, and telemetry.
- Work with the observability team to define, build, and track SLOs/SLIs for storage systems.
- Coordinate with Networking, Compute, and Storage Engineering teams to deploy high-performance distributed storage solutions that serve AI/ML workloads.
- Partner with the Fleet Engineering team to ensure seamless deployment, monitoring, and ongoing maintenance of distributed storage infrastructure.
- Innovate:
- Stay current with the latest research and developments in AI and HPC storage
- Evaluate and prototype new storage solutions, protocols, and hardware integrations - from open-source distributed filesystems to vendor-specific accelerated storage products.
Responsibilities
- You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.
Skills
LeadershipWelding
Degrees
Associate
Industry
EnergyPublic-sector
Company size
EnterpriseSmb
Contract length
5 years