Lambda · 1 month ago
Software Engineering Manager, Storage
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$330K/yr - $495K/yr
10+ years expLambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. They are seeking an experienced Software Engineering Manager to lead a team in the design, development, and optimization of cutting-edge distributed storage solutions tailored for AI workloads.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingData CenterGPUMachine Learning
Responsibilities
Grow/Hire, lead, and mentor a top-talent team of high-performing software engineers focused on delivering distributed storage protocols
Foster a high-velocity culture of innovation, technical excellence, and collaboration
Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members
Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies
Drive the technical vision and strategy for our distributed storage protocols (e.g., S3, NFS, iSCSI) and their underlying distributed systems
Oversee the development of highly optimized storage solutions designed to meet the performance demands of AI/ML workloads (e.g., high throughput, low latency, optimization for AI workload access patterns)
Lead the team in tackling complex distributed systems challenges, including concurrency, consistency, fault tolerance, and data durability across multiple data centers
Guide engineering team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs
Deeply understand the performance bottlenecks of existing storage systems and guide the team in developing innovative solutions to overcome them
Lead the team in supporting customers
Work closely with AI/ML research and products teams to understand customers storage needs and translate them into technical requirements
Work closely with the product engineering team to deliver high quality products to customers to meet their unique needs
Collaborate with product management to define the product roadmap and prioritize features
Work closely with HPC Architecture, Networking, Compute, and Storage Engineering teams to deploy high-performance distributed storage protocols to serve AI/ML workloads
Partner with fleet engineering and platforms teams to ensure seamless deployment, monitoring, and maintenance of the distributed storage protocols
Work in lock-step with the Storage Engineering team to provide reliable storage products on top of a variety of physical storage solutions
Stay current with the latest trends and research in distributed systems, storage technologies, and AI/ML hardware/software advancements
Work with the Lambda product team to uncover new trends in the AI inference and training product category
Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency
Qualification
Required
10+ years of experience in software development, with at least 5+ years in a management or lead role in storage software engineering
Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment
Extensive hands-on experience in designing and implementing distributed storage systems
Experience with storage protocols serving storage volumes at a scale greater than 20PB
Experience developing and tuning distributed storage protocols across scaling challenges using namespacing, sharding, and caching strategies
Familiarity with deploying and running applications on Kubernetes or other container orchestration systems (e.g., AWS ECS, Hashicorp Nomad)
Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule
Knowledge in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre)
Professional individual contributor experience in languages such as C++, Go, Rust, or Python
Familiarity with modern storage technologies (e.g., NVMe, RDMA) and their role in optimizing performance
Experience with containerization technologies (e.g., Docker, Kubernetes) and their integration with storage solutions
Solid understanding of distributed systems concepts, including consensus algorithms (e.g., Raft, Paxos), distributed caching, failure recovery, consistency models (e.g., eventual consistency), fault tolerance, data replication, load balancing, and distributed consensus algorithms
Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting
Preferred
Demonstrated delivery of distributed storage protocols in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company
Experience with storage protocols serving storage volumes at a scale greater than 100PB
Implementation of distributed storage protocols backed by a variety of storage solutions, performance-tuned for AI/ML workloads
Experience driving cross-functional engineering management initiatives (coordinating deployments, strategic planning, coordinating large projects)
Deep expertise in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre)
Strong programming skills in languages such as C++, Go, Rust, or Python
In-depth knowledge of operating system internals, including file systems, caching, and I/O scheduling
Experience working with AI/ML training and inference frameworks (e.g., TensorFlow, PyTorch)
Understanding of the unique data access patterns and performance requirements of AI workloads
Proven ability to design and debug highly concurrent and fault-tolerant systems
Experience driving organizational improvements (processes, systems, etc.)
Experience training, or managing managers
Benefits
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
Company
Lambda
Lambda is a cloud-based platform that provides high-performance GPU hardware and cloud infrastructure for AI model training and inference.
501-1000 employees
H1B Sponsorship
Lambda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (1)
2023 (3)
2022 (2)
2021 (2)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$3.19BKey Investors
TWG GlobalJP MorganMacquarie Group
2025-11-18Series E· $1.5B
2025-08-19Debt Financing· $275M
2025-02-19Series D· $480M
Leadership Team
Stephen Balaban
Co-founder, CEO
Michael Balaban
Co-Founder / CTO
Recent News
2026-01-11
2026-01-09
Company data provided by crunchbase