Engineer

• Design, build, and optimize features across DDN’s NFS and storage stack
• Diagnose bottlenecks across file systems, storage media, networking, and I/O paths
• Improve performance, scalability, and resiliency in distributed storage environments
• Work across kernel-space and user-space components to solve hard systems problems
• Collaborate with engineers across storage, systems, and platform layers
• Develop tooling and automation in Python to improve observability, testing, and operations
• Help shape the next generation of infrastructure for AI and data-intensive workloads

Senior/Staff NFS Engineer

AI Engineer

• Build and optimize LLM serving and inference systems for production environments
• Improve performance across GPU and CPU pathways
• Work on KV cache, memory, storage, and throughput bottlenecks
• Design and scale systems that support RAG and retrieval-heavy AI workloads
• Contribute to infrastructure where storage architecture and systems efficiency materially affect AI performance
• Solve engineering problems at the intersection of AI, high-performance systems, and distributed infrastructure

Senior/Staff AI Engineer

Software Engineer

• Design, build, and optimize FUSE-based infrastructure and storage components
• Develop and improve Linux file system integrations across kernel and user-space layers
• Work on distributed storage and object storage infrastructure systems
• Improve scalability, resiliency, and performance across storage platforms
• Optimize networking and data movement using RDMA principles
• Diagnose bottlenecks across file systems, networking, memory, and I/O stacks
• Develop infrastructure tooling and platform capabilities in C and C++
• Work closely with systems, storage, and platform engineering teams on deeply technical infrastructure challenges
• Help shape next-generation infrastructure platforms for AI and high-performance environments

Senior/Staff Fuse Developer

Account Executive

• Own and grow enterprise accounts within your territory
• Create and convert net-new business opportunities
• Lead complex, multi-stakeholder enterprise sales cycles from prospecting through close
• Build relationships with executive buyers and technical influencers
• Partner closely with technical teams to shape compelling AI and data infrastructure solutions

Account Executive / Client Director

Full-stack Engineer

• Maintain, extend, and improve our FUSE module, and upstream changes as approporiate.
• Design and develop in C/C++ under tight deadlines with minimal supervision
• Define and articulate technical designs with the appropriate details
• Full application development from design to development to testing to deployment
• Participate in technical reviews throughout the course of development
• Architecture and troubleshooting of system level components, especially the file system and related storage system components.
• Undertake research based technical tasks: Define research approach, document results and Derive conclusions. Should be able to design a solution based on the research conducted
• Mentor junior developers
• Support product deployment and production defect resolution in a timely manner

Staff Software Engineer – FUSE Developer

Frontend Engineer

• Design, develop, and maintain complex web applications using Angular
• Write clean, maintainable, and well-documented code following best practices
• Build reusable components and front-end libraries for future use
• Collaborate with back-end developers to integrate RESTful APIs
• Participate in thorough code reviews, providing constructive feedback
• Create visually appealing interfaces with attention to detail

Staff UI Engineer

Sales Engineer

• Partner with customers to understand their critical data challenges
• Translate technical requirements into elegant, scalable storage solutions that exceed expectations
• Act as trusted technical advisor throughout the sales cycle
• Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
• Conduct live demos, POCs, and performance benchmarking

Senior Sales Engineer

Product Manager

• Co-own the Horizon product strategy, roadmap, and phased delivery plan (current release through multi-year vision), and represent product direction across executive, board, and partner forums.
• Drive the end-to-end go-to-market execution for Horizon in partnership with sales, sales engineering, marketing, and services — including pricing and packaging, segmentation, positioning, enablement, and deal support for strategic opportunities.
• Own cross-functional program orchestration across engineering, operations, support, customer success, and finance; anticipate dependencies, surface tradeoffs, and drive decisions on the critical path to each release and revenue milestone.
• Define and evolve the operational model for Horizon as a recurring-revenue service, including delivery, support escalation, usage metering, billing integration, true-up processes, and the service-level framework across SaaS and on-premises deployments.
• Lead partner and ecosystem engagement at the product level — including ongoing technology partnerships, co-selling relationships, and analyst interactions — and represent DDN in strategic customer conversations up to CxO level.
• Shape the requirements and success criteria for each Horizon phase in tight collaboration with engineering architecture; convert ambiguous strategic objectives into crisp PRDs, acceptance criteria, and measurable outcomes.
• Bring a structured voice of the customer into the roadmap by synthesizing input from design partners, early-access customers, and field teams, and by directly engaging reference accounts across regulated and sovereign segments.
• Partner with marketing on positioning, messaging, and launch moments; serve as an executive-credible spokesperson for Horizon in external-facing settings where appropriate.
• Operate as a thought partner to the Product Lead and to cross-functional executives — challenge assumptions, offer independent judgment, and raise the strategic caliber of the broader Horizon program.

Principal Product Lead – DDN Horizon

• Design and develop multi-threaded asynchronous replication systems with parallel streaming capabilities
• Build object-level delta replication with checkpointing and resume functionality
• Develop replication engines supporting bucket/share-level replication controls
• Implement secure data transfer mechanisms using TLS 1.3 with mutual authentication
• Ensure end-to-end data integrity through checksum validation and verification pipelines
• Design and implement manual failover workflows for disaster recovery scenarios
• Build and maintain REST APIs for replication configuration, control, and automation
• Develop metadata tracking and change detection systems to enable efficient replication
• Implement RPO visibility, alerting, and operational insights for replication status
• Contribute to monitoring dashboards focused on replication health and performance
• Ensure systems are designed for high availability, fault tolerance, and scalability
• Partner with QA teams to drive performance, resiliency, and scale validation
• Collaborate with backend, security, and platform teams to deliver end-to-end replication workflows
• Participate in debugging, production issue resolution, and continuous improvement of replication reliability
• Provide technical leadership, architectural guidance, and mentorship to the engineering team.

Staff Replication Development Engineer

LLM Engineer

• Act as a Strategic AI Client Director within the assigned West Coast territory, driving adoption of DDN’s AI infrastructure solutions across enterprise and research organizations.
• Drive revenue growth and achieve or exceed assigned sales quota across the West Coast region.
• Develop and execute strategic territory and account plans targeting organizations building large-scale AI and high-performance computing environments.
• Identify and qualify new opportunities across industries including financial services, healthcare, telecommunications, technology, research institutions, and large enterprise organizations.
• Build trusted relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers within target accounts.
• Partner with solutions architects and engineering teams to design and present AI infrastructure and high-performance data storage solutions.
• Deliver compelling presentations, product demonstrations, and proposals showcasing the value of DDN’s AI-optimized storage platforms.
• Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation, and deal closure.
• Develop strong relationships with channel partners, system integrators, OEM partners, and distributors to expand market reach.
• Stay current on market trends related to AI infrastructure, GPU computing, large-scale model training, and high-performance data environments.
• Represent DDN at industry events, conferences, and customer engagements to generate new opportunities and strengthen market presence.

Client Director – Strategic AI Infrastructure

• Lead the design and implementation of high-performance data movement pipelines using NVIDIA NIXL across GPU, CPU, and storage tiers.
• Architect and drive integration of DDN Infinia with GPU-accelerated inference platforms for large-scale, real-time AI workloads.
• Own end-to-end optimization of I/O paths between GPU memory and storage using technologies such as NVIDIA GPUDirect Storage, RDMA, and NVMe-over-Fabrics.
• Define and implement multi-tier storage architectures (NVMe, SSD, object storage) optimized for inference latency, throughput, and scalability.
• Lead development of advanced KV cache management strategies, including offloading, prefetching, and persistence across distributed storage layers.
• Partner with AI/ML engineering teams to optimize inference performance in frameworks such as PyTorch and TensorFlow.
• Establish benchmarking frameworks and lead performance tuning efforts for storage and data movement in production inference environments.
• Diagnose and resolve complex system bottlenecks across storage, networking, and GPU subsystems.
• Influence architecture decisions for distributed inference systems, ensuring scalability, resilience, and efficient data locality.
• Drive engineering excellence through best practices in observability, performance monitoring, automation, and reliability engineering.
• Mentor junior engineers and provide technical leadership across cross-functional teams.

Senior Staff Engineer – AI Data Path

• Partner with customers to understand their critical data challenges
• Translate technical requirements into scalable storage solutions
• Architect storage for AI/ML training, HPC simulations
• Create BOMs, system architectures, and technical proposals
• Conduct live demos, POCs, and performance benchmarking
• Collaborate with Product and Engineering teams

Advisory Sales Engineer – FSI

• Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
• Translate technical requirements into elegant, scalable storage solutions that exceed expectations
• Act as trusted technical advisor throughout the sales cycle
• Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
• Design for reliability, resilience, security, and scale—balancing performance with data protection
• Create BOMs, system architectures, and technical proposals for complex RFPs
• Conduct live demos, POCs, and performance benchmarking
• Stay current on AI infrastructure and storage technology trends
• Collaborate with Product and Engineering teams using field insights
• Mentor team members and contribute to technical thought leadership
• Shape product direction based on customer needs

Advisory Sales Engineer – Strategic AI

• Architect high-performance storage solutions
• Partner with customers to understand data challenges
• Translate technical requirements into scalable storage solutions
• Conduct live demos and performance benchmarking

Sales Engineer – Strategic AI

• Define and own architecture for NFS across distributed file systems
• Drive performance analysis and optimization of large-scale, high-performance, scale-out file systems
• Architect performance-aware NFS design and architecture
• Drive optimization of performance-critical distributed file system code, primarily in C++
• Help drive best practices for performance measurement, profiling, benchmarking, and regression detection
• Lead deep-dive investigations into complex, system-wide issues
• Influence system architecture with a performance-first mindset around NFS and accompanying tradeoffs against other protocols
• Mentor senior and staff engineers on engineering techniques and methodologies
• Collaborate with cross-functional teams to ensure goals are met across the stack
• Represent NFS considerations in design reviews and long-term roadmap planning