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Leads the hardware platform strategy and roadmap for DDN’s AI-focused data intelligence platform, aligning engineering, sales, and customers to deliver scalable, high-performance storage solutions for AI and HPC workloads.
Build and maintain automated test frameworks in Python/PyTest to validate distributed storage systems, filesystems, and high-performance data platforms for an AI-focused enterprise storage product.
Design and build scalable, high-performance storage components for an AI-focused data platform, focusing on distributed systems and file systems in C/C++ on Linux.
Build and optimize LLM serving and inference systems for production, focusing on GPU/CPU pathways, KV cache, memory, storage, and throughput bottlenecks.
Builds scalable backend services in Java/Spring for an AI-focused data platform, focusing on S3-compatible storage and distributed systems.
Senior Software Engineering Manager – KV Cache Platform Department: Top Level - By Department Location: Santa Clara Employment Type: FullTime DDN is seeking a Senior Software Engineering Manager to lead the engineering…
Build and lead backend services for a petabyte-scale AI data platform, designing secure, resilient microservices and APIs that orchestrate hybrid cloud/on-prem storage and compute for AI workloads.
Lead product strategy for DDN’s AI-focused storage platform, defining requirements for Support, Manage, and Store components across two storage engines (Infinia and EXAScaler) and driving proactive support capabilities.
Build and maintain dbt models and BI layers that turn raw Salesforce, Workday, and product data into trusted, self-serve datasets for Sales, Finance, Product, and Operations.
Builds and maintains storage-system features (metadata search, KV indexing) in C/C++ for a data platform used in AI workflows, with a focus on Linux file systems and distributed storage.
Manages end-to-end RFP and proposal responses for a data platform company, coordinating Sales, Legal, and Product teams to deliver compliant customer submissions.
Build and run automated tests for a large-scale distributed data platform, validating storage, scheduling, and I/O components using Python and pytest.
Orchestrates cross-functional GTM initiatives for an AI data platform, turning strategy into actionable plans and tracking progress to drive growth.
Principal Solutions Architect designs and advises on AI, ML, and HPC infrastructure, connecting DDN’s data platform to customer challenges to improve performance and accelerate insights.
Product Launch, Senior Manager Department: Top Level - By Department Location: New York Office Compensation: $170K – $200K Employment Type: FullTime Position Summary DDN is scaling fast across a growing product…
Support and architect AI platforms for DDN’s Hyperpod, diagnosing issues across NVIDIA AI Enterprise, vector databases, GPUs, Kubernetes, and high-performance storage/networking.
Principal Product Manager at DDN to lead EXAScaler’s multi-release strategy for AI and HPC storage, defining roadmaps and collaborating with engineering and customers on large-scale deployments.
Lead the security architecture for distributed storage platforms powering AI workloads, defining encryption, IAM, and Zero Trust controls across S3-compatible object storage, POSIX file systems, and KV cache services.
Engineering Manager Department: Top Level - By Department Location: Pune Office Employment Type: FullTime As an Engineering Manager - Control Plane, you will lead the design and development of Manageability solutions…
Design and operate hybrid cloud/bare-metal infrastructure and DevOps tooling for an AI data platform, focusing on automation, scalability, and reliable CI/CD pipelines.
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