3 months ago
Base Salary
$266k - $395k/yr
Responsibilities
- Design and build a vendor-agnostic storage control plane that provisions, scales, heals, and meters storage across multiple platforms.
- Create an abstraction layer for vendor-specific APIs, failure semantics, quality-of-service controls, and telemetry.
- Develop reconciliation loops, Kubernetes controllers, operators, and custom schedulers for storage orchestration across data centers and availability zones.
- Own multi-tenant isolation, QoS and rate limiting, credential and key lifecycle, blast-radius containment, and noisy-neighbor detection.
- Design capacity and placement systems that account for PCIe topology, NUMA, GPUs, and failure domains.
- Define service-level indicators and objectives, detect fleet-wide performance regressions, and build observability pipelines for large storage fleets.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a related field.
- 5+ years of experience in software development for storage systems.
- Proven experience with distributed-systems programming and concepts including load balancers, data durability, consensus algorithms, fault tolerance, and data consistency.
- Strong programming skills in C, C++, Go, or Python.
- Experience with Linux kernel internals and system-level programming.
- Experience with storage protocols such as S3 or NFS and file systems such as Ceph, DAOS, or similar.
- Familiarity with Docker, Kubernetes, and production workloads in containerized environments.
- Familiarity with CI/CD and QA practices for distributed-systems development.
- Preferred experience includes AI/ML workloads, data-center networking, InfiniBand or RoCE, storage performance tuning, GPUs or DPUs, commercial storage platforms, very large-scale Ceph deployments, CXL memory pooling, computational storage, ZNS SSDs, EDSFF, or relevant technical publications and presentations.
Benefits
- The role requires working from the San Francisco or Bellevue office four days per week, with Tuesday designated as the work-from-home day.
- Generous cash and equity compensation is offered.
- Health, dental, and vision coverage is provided for employees and dependents.
- Wellness and commuter stipends are available for select roles.
- A 401(k) plan with a 2% company match is available to USA employees.
- Flexible paid time off is provided.
About Lambda
Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.