Architect and define scalable compute platforms optimized for AI/ML, simulation, and high-throughput workloads. Develop compute system standards and design patterns to ensure consistency, performance, and maintainability across infrastructure.
Own mechanical design standards and reference architectures for large-scale AI data centers. Develop cooling architectures for greenfield, retrofit, and partner-operated facilities.
As a Staff Software Engineer for the Compute pillar, you will play a critical role in defining the technical vision for Lambda's next-generation GPU and CPU host instance lifecycle and compute control plane.
Lambda · 19d ago
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.
Lambda · 22d ago
The team owns foundational platform capabilities across Managed Kubernetes, resource lifecycle, workload orchestration, cloud APIs, automation, observability, and multi-region operations.
Compute is the product at Lambda. Customers come to us for graphics processing units (GPUs) they can get, hold, and run hard, and nearly everything else we sell depends on the compute layer working well.
Storage and networking are what turn graphics processing units (GPUs) into a cloud. Customers come to Lambda for compute, then decide whether to stay based on where their data lives and whether the network gets it to the GPUs fast enough to keep them busy.
A customer runs distributed training across 64 to 1,024+ GPUs (Graphics Processing Units). When a job slows down, customers need one question answered instantly: is it my code, NCCL (NVIDIA Collective Communications Library) configuration issue, or a bad InfiniBand link?
Strategic Technology Leadership for Key Accounts. Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts. Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor.
Architect high-performance networking solutions that power cloud platforms, with a focus on ultra-low-latency and high-bandwidth connectivity. Define the network topology and architectural patterns for large-scale GPU clusters, storage backends, and multi-tenant environments.
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San Jose Office (First St), USA