Full-Time
Director of Engineering
Infinia Data Engine
Posted on 10/27/2025
DataDirect Networks (DDN)
1,001-5,000 employees
Data storage hardware/software for HPC/AI
No salary listed
No H1B Sponsorship
Remote in USA
Remote
Remote candidates in Boston, MA; Raleigh, NC; Denver, CO; or Tucson, AZ. Occasional in-person meetings may be required.
 Data & Analytics (1) |
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- 10+ years of engineering experience in data infrastructure, distributed systems, or large-scale analytics platforms
- Proven track record of building and leading high-performance engineering teams
- Deep technical expertise in open-source data frameworks such as Trino, Delta Lake, Apache Iceberg, Ray Data, or Mosaic Streaming
- Strong understanding of data ingestion, transformation, streaming, and orchestration for AI and real-time workloads
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and hybrid deployment architectures
- Proficiency in distributed computing, parallel data processing, and system-level performance optimization
- Excellent cross-functional collaboration and technical communication skills
- Build, scale, and lead a high-performing team of engineers focused on data ingestion, transformation, and streaming components within the Infinia platform
- Drive the design and implementation of high-performance, cloud-optimized connectors that integrate with industry-standard open-source tools
- Oversee the development of end-to-end data workflows that power AI/ML model training, inferencing, and real-time analytics at scale
- Architect and refine a robust, low-latency data engine that supports diverse formats, compute engines, and workloads across on-prem and multi-cloud deployments
- Benchmark and optimize data pipelines to meet the extreme throughput and concurrency demands of modern AI applications
- Champion platform-wide initiatives around data interoperability, metadata management, partitioning strategies, and workload-aware scheduling
- Partner with Product Management and Architecture teams to define technical roadmaps and prioritize high-impact work aligned with customer use cases
- Engage with external partners and open-source communities to contribute to and influence the evolution of data frameworks
- Represent Infinia’s data engineering strategy in strategic customer conversations, industry forums, and internal executive briefings
- Ensure the reliability, performance, and security of all data engineering components
- Drive adoption of best practices in data governance, lineage, observability, and platform compliance
- Promote engineering rigor through code quality standards, CI/CD automation, and scalable testing frameworks
- Experience contributing to or leading open-source software initiatives
- Familiarity with data lakehouse architectures, vectorized query engines, and high-throughput data connectors
- Understanding of AI/ML pipeline integration, data lineage, or model-aware data orchestration
- Background in HPC or other data-intensive compute environments
DDN, or DataDirect Networks, provides data storage management solutions for high-performance computing (HPC) and artificial intelligence (AI). It sells hardware storage arrays, data management software, and cloud storage options, along with installation, maintenance, and licensing services. Their products work by combining powerful storage hardware with software that manages data workflows, ensures fast access, and supports cloud integration for large-scale data. DDN differentiates itself by serving a global base of researchers, government agencies, and enterprises, including 48 of the top 100 supercomputers, and by maintaining strong partnerships (e.g., with NVIDIA) to tailor solutions for demanding data environments. Their goal is to help organizations store, manage, and access massive data efficiently, enabling advanced computing tasks in HPC and AI while continuing to evolve their hardware-software offerings and services.
Company Size
1,001-5,000
Company Stage
Growth Equity (Venture Capital)
Total Funding
$309.9M
Headquarters
Los Angeles, California
Founded
1998
Simplify's Take
What believers are saying
- Zadara partnership enables sovereign AI factories on NVIDIA reference designs.
- Aqylon Nexus MoU explores hyperscale AI data centers in India since March 2026.
- Kevin Delane as CRO scales revenue amid $400M annual growth trajectory.
What critics are saying
- Pure Storage erodes share via Kevin Delane's sales in 6-12 months.
- NVIDIA DGX SuperPOD integrates storage, bypassing DDN in 12-18 months.
- VAST Data undercuts Infinia pricing by 50% in sovereign deals now.
What makes DataDirect Networks (DDN) unique
- DDN EXAScaler powers Google Cloud Managed Lustre at 10TB/s for AI training.
- IndustrySync Pipelines deploy financial and life sciences AI workflows in days.
- DDN Horizon orchestrates multi-tenant AI-as-a-Service for sovereign clouds.
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Benefits
Remote Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 4%1 year growth
↑ 6%2 year growth
↑ 2%DDN, a global leader in AI data intelligence platforms, has appointed Kevin Delane as President and Chief Revenue Officer. Delane will oversee global revenue strategy, go-to-market execution, marketing and customer success as the company enters a phase of hypergrowth. The appointment follows recent executive additions and comes amid reports of a potential IPO. Delane brings over 30 years of experience in enterprise technology, having held senior roles at Pure Storage, where he helped scale revenue beyond $2 billion, as well as Cohesity and OwnBackup. His hiring follows the recent addition of Guido Torrini as Chief Financial and Operating Officer. DDN powers AI infrastructure for hyperscalers, enterprises, governments and research institutions, delivering data intelligence at exabyte scale across hundreds of thousands of GPUs.
DDN and Zadara power sovereign, Multi-Tenant AI Factories built on NVIDIA Reference architecture. March 19, 2026 Press play to listen to this content SAN JOSE, Calif., March 19, 2026 - DDN and Zadara have announced a strategic technology partnership to deliver high-performance AI infrastructure for sovereign clouds and multi-tenant AI factories, built on NVIDIA Reference Designs for multi-tenant clouds. This partnership is a key component of DDN's enterprise AI strategy, which is built around two pillars: * Enterprise AI at scale * A growing ecosystem of partners committed to making AI infrastructure easier to deploy, faster to operationalize, and more affordable to run. By partnering with innovators like Zadara, DDN is accelerating its mission to make enterprise AI accessible, affordable, and fast - not just for hyperscalers, but for service providers, telcos, regulated industries, and global enterprises that need sovereign control, predictable performance, and secure multi-tenant operations. As NVIDIA accelerates the global evolution of AI infrastructure through standardized reference architectures, enterprises, service providers, and telcos are increasingly focused on deploying software-defined AI factories that deliver predictable performance, rapid time-to-value, and secure multi-tenant operations across sovereign, private, and hybrid environments. The DDN-Zadara partnership directly addresses these requirements by combining Zadara's AI-optimized, cloud-native orchestration and GPU-aware infrastructure platform, built-on NVIDIA Reference Designs for Multi-Tenant Clouds, with DDN EXAScaler's proven performance for large-scale AI training and inference. Together, the two companies will enable service providers, telcos, and enterprises to deploy NVIDIA-powered, AI infrastructure quickly, securely, and efficiently - while maintaining full control over compliance, cost, tenant isolation, and performance SLAs. A Unified Foundation for Sovereign AI and Multi-Tenant AI Factories Zadara's platform is designed to abstract the operational complexity of AI infrastructure while preserving the performance and governance requirements demanded by sovereign and multi-tenant environments. The company supports secure GPU networking, policy-based orchestration, and strong and secure tenant segmentation with native alignment to NVIDIA guidance on best practices for GPU virtualization and allocation. Through this partnership, DDN EXAScaler will serve as the high-performance AI data layer for Zadara's AI Factory and sovereign cloud deployments - enabling consistent throughput, massive concurrency, and predictable scaling for GPU-intensive workloads. Making Enterprise AI Practical: Accessible, Affordable, and Fast Enterprise AI adoption is accelerating - but many organizations still face the same core blockers: * High infrastructure complexity * Unpredictable GPU performance * Data locality and compliance requirements * Multi-tenant governance and operational control * Cost and time-to-value constraints This partnership directly addresses those barriers by delivering an integrated, production-ready foundation for real-world AI factories- where the AI stack is not only powerful, but also operationally scalable. While many AI factory strategies remain theoretical, Zadara and DDN are focused on delivering real-world deployments that customers can operationalize immediately, including containerized AI stacks, high-performance GPU networking, and multi-tenant controls required by regulated industries and national AI initiatives. NVIDIA GTC Launch + Go-To-Market "AI factories are the new operating model for modern enterprises and service providers - but they only succeed when the data layer can keep GPUs productive at scale," said Alex Bouzari, CEO and Co-Founder at DDN. "Partnering with Zadara is part of DDN's broader enterprise AI strategy and ecosystem commitment - making AI infrastructure more accessible, affordable, and fast for enterprises that need sovereign control and multi-tenant performance. Together, we're delivering a proven path to deploy NVIDIA-powered AI factories with performance, security, and operational confidence." "NVIDIA reference designs are accelerating the broad adoption of AI factories. Yet organizations need a cloud-native platform that can operationalize them simply and efficiently in real-world, multi-tenant environments while complying with data sovereignty regulations," said Yoram Novick, CEO at Zadara. "DDN EXAScaler brings the high-performance AI data foundation needed to meet demanding sovereign and enterprise requirements while Zadara delivers the orchestration, isolation, and policy control required to deploy AI infrastructure quickly, securely, and efficiently." Why This Partnership Matters * AI Factories are becoming the default infrastructure model for enterprises, telcos, and cloud service providers. * Sovereign and multi-tenant deployments require tenant isolation, compliance, and predictable SLAs - not just raw performance. * Tenant isolation spans across storage, compute and networking in tight integration. * AI infrastructure must be delivered as an integrated system - GPU + networking + data, with orchestration and policy built in. * Enterprise AI must be practical, with faster time-to-value and a clear path to production - not months of integration work. Together, DDN and Zadara deliver a production-ready foundation for sovereign, multi-tenant AI factories - combining the high-performance AI data layer required to keep GPUs fully utilized with the cloud-native orchestration, policy control, and tenant isolation required to operate AI infrastructure securely at scale. The joint solution enables customers to deploy AI infrastructure powered by NVIDIA to: * DDN EXAScaler performance at scale, delivering high throughput and massive concurrency for training, inference, checkpointing, and large dataset pipelines * Cloud-native multi-tenant orchestration, including GPU-performance-aware scheduling and automation * Policy-based segmentation and sovereign controls, supporting compliance, tenant isolation, and data locality requirements * Integration with NVIDIA networking and DPU technologies, enabling secure, high-performance AI factory architectures * Predictable performance SLAs and faster time-to-value, reducing operational complexity while accelerating AI deployment across enterprise and service provider environments DDN is the world's leading provider of AI data storage and data management platforms, powering over 20 years of innovation across HPC, enterprise, and the largest AI deployments on Earth. With its EXA, Infinia, and intelligent data management platforms, DDN delivers unmatched performance, scale, and business value for customers building next-generation AI factories, hyperscale clouds, and Sovereign AI initiatives. DDN is the trusted partner for thousands of the world's most data-intensive organizations, including the leading national labs, research institutions, enterprises, hyperscalers, financial firms, and autonomous vehicle innovators. For more information, visit www.ddn.com. About Zadara Zadara is a leading provider of sovereign AI edge clouds offering a revolutionary distributed cloud platform that simplifies operational complexity and enables seamless multi-tenancy through automated end-to-end provisioning of compute, storage, and networking. With over 500 edge cloud locations worldwide and with the ability to deploy a cloud in any location, Zadara's clouds are uniquely positioned to meet the unique demands of various cloud-based use cases, including sovereign cloud and AI inference at the edge for service providers and the modern enterprise. Zadara clouds are AWS compatible and feature consumption-based pricing with zero data egress fees. Zadara's fully-managed clouds are designed to accommodate any workload, anywhere - whether on-premises, hybrid, multi-cloud or at the edge. Zadara operates worldwide with a highly skilled team that provides 24/7 follow-the-sun support and services. Zadara is headquartered in Irvine, California. ABU DHABI, United Arab Emirates, March 19, 2026 - The Technology Innovation Institute (TII), the... March 18, 2026 - Smaller than the full-size system, the EAS gives NERSC staff and... SEOUL and SANTA CLARA, Calif., March 18, 2026 - Samsung Electronics Co., Ltd. today announced... 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Nvidia GTC 2026: DDN launches IndustrySync Pipelines for Financial Services and Life Sciences AI. Validated, pre-integrated AI data workflows available on DDN HyperPOD reduce time-toproduction from months to days; 90-day early adopter program open for applications today. DDN, an AI data platform provider, launched two new IndustrySync Pipelines. The pipelines - validated, industry-specific AI blueprints, initially available in the Financial Services and Life Sciences verticals - can be deployed on existing customer infrastructure in days rather than months.The pipelines are aligned to industry-specific business outcomes, running seamlessly on DDN and NVIDIA's validated, fully orchestrated technology stack. IndustrySync Pipelines are pre-integrated, production-validated workflows that are available immediately for DDN Enterprise AI HyperPOD deployments, with available expansion to Nvidia DGX SuperPOD & Nvidia HGX environments, as well as sovereign AI factories. Each pipeline is designed as a flexible, extensible foundation - built to adapt to your specific environment, data, and workflows. "Enterprises are not limited by AI models - they are limited by how quickly they can operationalize AI infrastructure and data to achieve the promise of AI- assisted business outcomes," said Alex Bouzari, CEO and co-founder, DDN. "IndustrySync Pipelines provide a validated path from experimentation to production AI in a matter of days, so every enterprise can move from experimenting with AI to running it in an accelerated manner." "Supermicro has collaborated closely with DDN and Nvidia on developing the HyperPOD, an AI Data Platform solution which combines GPU-accelerated compute with DDN's data platform software," said Vik Malyala, president & MD EMEA, SVP, technology & AI, Supermicro. "The integrated HyperPOD solution using Supermicro servers with the IndustrySync solutions are a perfect complement to provide ready-to-run industry-specific AI solutions for these and future workflows." IndustrySync Financial Services Pipeline The DDN IndustrySync Financial Services Pipeline enables financial institutions to operationalize AI-driven risk intelligence at market speed, transforming how capital is modeled, managed, and optimized. Business Outcomes * Up to 150x faster risk simulations, converting overnight batch jobs into continuously updated intraday intelligence * Expected shortfall and risk regime calculations refreshed every five minutes across all GPUs * Faster response to market volatility with real-time capital and liquidity insights * Accelerated move from AI experimentation to production deployment - in days, not months * Deterministic performance and built-in governance to meet strict regulatory and risk requirements * Immediate infrastructure readiness with a data layer operational from day one By eliminating infrastructure complexity and performance bottlenecks, IndustrySync allows institutions to focus on what drives competitive advantage: faster decisions, improved capital efficiency, and measurable shareholder value. IndustrySync Life Sciences Pipeline The DDN IndustrySync Life Sciences Pipeline is a production-ready blueprint, built on Nvidia industry reference architectures and integrated with Nvidia BioNeMo, enabling research institutions to operationalize AI-driven drug discovery at scale. Research & Business Impact * Accelerates genomics, protein structure analysis, and foundation model workflows * Shortens time from data ingestion to model training and inference * Reduces time-to-insight for therapeutic candidate discovery * Enables multi-modal biomedical AI at production scale * Eliminates infrastructure rebuilds between experimentation and deployment * Deployment completed in days, not months Operational Advantages * Integrated high-performance storage and GPU acceleration * Deterministic performance from day one * Scalable architecture validated for production environments * Removes data bottlenecks that slow AI-driven discovery By removing infrastructure complexity and enabling predictable, high-performance execution, IndustrySync allows researchers to focus on accelerating scientific breakthroughs rather than managing systems. Expanding Industry AI Deployment DDN plans to expand IndustrySync Pipelines throughout 2026 with additional industry workflows, including expanded financial services use cases and intelligent video and surveillance pipelines. "Enterprises are not limited by AI models, they are limited by how quickly they can operationalize data and infrastructure," added Alex Bouzari, CEO and co-founder at DDN. "IndustrySync Pipelines provide a validated path from experimentation to production AI, so every enterprise can move from experimenting with AI to running it." Early Adopter Program now open: Apply today. To accelerate customer adoption, DDN is launching a 90-day IndustrySync Financial Services Early Adopter Program, allowing select institutions to deploy and evaluate the pipeline in their own environments ahead of general availability. Participants receive: * Deployment of the IndustrySync FSI Risk Pipeline on HyperPOD * A 500TB DDN Infinia license during the evaluation period * Integration support with existing data and compute environments * Direct collaboration with DDN's enterprise AI engineering team Apply for the early adopter program at ddn.com/financial-ai-pipeline/, and visit the DDN Booth #1621 at GTC. Read also: Fueled by an compelling orchestration dedicated to AI workloads AI Factory on Wheels Engineered for Real, Turnkey ROI New EXA and Infinia capabilities deliver full GPU performance on any storage media, cutting AI infrastructure costs by up to 70% while protecting customers from worldwide SSD price spikes Confirming performance level with public benchmark By Philippe Nicolas December 31, 2025 | News Validating the Single Namespace approach
Nvidia GTC 2026: DDN unveils DDN Horizon to turn AI infrastructure into revenue-ready AI-as-a-Service platforms. Fueled by an compelling orchestration dedicated to AI workloads. DDN, an AI data platform provider, today announced the launch of DDN Horizon, a market-leading, comprehensive orchestration platform that operationalizes AI-as-a-Service across the full AI lifecycle.As AI infrastructure scales from pilot projects to national and commercial AI factories, the challenge is operational complexity and performance. Nvidia Cloud Providers (NCPs), sovereign AI initiatives, and enterprises are investing heavily in GPU infrastructure. But without a unified AI control plane, they face fragmentation, underutilization, manual provisioning, and limited ability to monetize services. "The next phase of AI isn't about buying more GPUs - it's about operationalizing them. Trillions in AI infrastructure investment must translate into real economic output, and that requires a unified control plane," said Alex Bouzari, CEO and fo-founder, DDN. "DDN Horizon transforms fragmented GPU clusters into secure, multi-tenant, revenue-ready AI platforms. Whether for sovereign AI, cloud providers, or enterprises, orchestration is the multiplier that turns infrastructure into an economic engine." DDN Horizon transforms large-scale GPU and data infrastructure into a secure, multi-tenant, revenue-ready AI platform. It enables providers to move beyond basic GPU rental and deliver full AI-as-a-Service offerings through: * Self-service provisioning of compute, storage, and AI workspaces * Policy-driven governance and tenant isolation * Lifecycle management from training through inference * Integrated usage tracking, chargeback, and billing By simplifying provisioning at scale, DDN AI Horizon allows emerging NCPs to compete directly with hyperscalers while maintaining local control and differentiated service models - enabling revenue-ready AI clouds to launch in weeks, not quarters. For Sovereign AI Initiatives DDN Horizon provides the operational foundation to build nationally controlled AI clouds that are secure, compliant, and ecosystem-ready. Governments and national operators can: * Deliver locally hosted AI platforms for regulated industries * Ensure data, models, and work products remain within national borders * Accelerate AI adoption across banking, telecom, public sector, research, and startup ecosystems The result: sovereign AI infrastructure with economic impact at national scale. For Enterprises DDN Horizon enables a unified private AI cloud model that replaces fragmented infrastructure with: * Centralized governance and policy enforcement * Tenant isolation and observability * Transparent chargeback and cost allocation Internal platform teams retain control, while developers and data scientists gain frictionless, self-service access to GPUs, storage, and AI pipelines. The outcome: * Higher GPU utilization * Faster deployment cycles * Measurable ROI from AI investments Platform Architecture Built on DDN's data intelligence foundation, DDN Horizon orchestrates: * Compute (GPUs and CPUs) * High-performance data services * Networking * End-to-end AI pipelines It delivers a true Platform-as-a-Service experience for modern AI infrastructure consumers - providing secure, as-a-service access to infrastructure resources while eliminating operational complexity. With DDN Horizon, organizations can offer AI practitioners a complete as-a-service model - from GPUs and storage to inference services and AI workspaces - with self-service provisioning across environments. The result is simplified operations at scale, improved capacity planning, transparent cost allocation, and new revenue generation from AI services - allowing customers to focus on breakthroughs rather than infrastructure management. DDN Horizon will be showcased at Nvidia GTC 2026, visit booth #1621. Read also: New EXA and Infinia capabilities deliver full GPU performance on any storage media, cutting AI infrastructure costs by up to 70% while protecting customers from worldwide SSD price spikes Confirming performance level with public benchmark By Philippe Nicolas December 31, 2025 | News Validating the Single Namespace approach New EXA and Infinia capabilities deliver full GPU performance on any storage media, cutting AI infrastructure costs by up to 70% while protecting customers from worldwide SSD price spikes Delivering the trusted foundation for national AI infrastructure - built for extreme performance, sustainability, and data sovereignty
* Equity * Mutual Fund * IPO * News 05-Mar-2026 14:53 Hrs IST Aqylon Nexus touches roof on executing MoU with DataDirect Networks India. Aqylon Nexus is locked its upper circuit limit at Rs. 114.05, up by 5.42 points or 4.99% from its previous closing of Rs. 108.63 on the BSE. The scrip opened at Rs. 111.00 and has touched a high and low of Rs. 114.05 and Rs. 110.00 respectively. So far 6341 shares were traded on the counter. The BSE group 'B' stock of face value Rs. 1 has touched a 52 week high of Rs. 226.00 on 21-Jan-2026 and a 52 week low of Rs. 43.51 on 05-Mar-2025. Last one week high and low of the scrip stood at Rs. 124.50 and Rs. 108.63 respectively. The current market cap of the company is Rs. 2893.80 crore. The promoters holding in the company stood at 59.12%, while Institutions and Non-Institutions held 0.80% and 40.07% respectively. Aqylon Nexus has executed a Memorandum of Understanding (MoU) with the DataDirect Networks India, the world's leading AI data platform provider (DDN) to explore strategic collaboration leading the development of AI-ready hyperscale data centres that will serve as the backbone of the nation's digital transformation. The MoU has been executed with the objective of exploring potential strategic collaboration opportunities in the domains of Artificial Intelligence (AI) and Hyperscale Data Centre infrastructure. The proposed collaboration may include, create world-class 'AI Factories' in India-hyperscale data centres specifically engineered to support generative AI, large language model (LLM) training, and data-intensive HPC workloads; Integrate proven, enterprise-grade parallel file systems and NVMe storage solutions that deliver the unprecedented throughput and low-latency performance critical for AI workloads; Evaluation of joint opportunities across India and other mutually agreed geographies. The MoU sets out a broad framework for cooperation between the parties and does not constitute a legally binding agreement. Any definitive agreement(s), if entered into, shall be subject to mutual consent, due diligence, internal approvals, and applicable statutory and regulatory compliances. Aqylon Nexus (Formerly known as Sri Adhikari Brothers Television Network) builds clean-energy-first infrastructure for the AI era. It integrates nuclear-powered data centers, enterprise AI, space systems, and edge semiconductors into a unified stack for governments and enterprises.