Overview:
This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world’s most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

“THE REAL DIFFERENTIATOR IS DDN. I NEVER HESITATE TO RECOMMEND DDN. DDN IS THE DE FACTO NAME FOR AI STORAGE IN HIGH PERFORMANCE ENVIRONMENTS” - MARC HAMILTON, VP, SOLUTIONS ARCHITECTURE & ENGINEERING | NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.
Job Description:

SR DIRECTOR OF ENGINEERING - INFINIA DISTRIBUTED PLATFORM

We are looking for an experienced and technically driven Director of Engineering to lead the Infinia Distributed Platform organization — the foundational team powering DDN’s flagship AI-native distributed data platform.
In this role, you will oversee engineering teams responsible for the core systems that enable Infinia’s performance, scalability, and reliability at global scale. This includes mission-critical components such as task scheduling, distributed tracing, memory management, SPDK data access, profiling, networking, reliability, distributed locking, internal key-value stores, and filesystem clients — all orchestrated within a multi-tenant, high-throughput environment.
You will define the strategy, scale execution, and mentor engineering leaders to deliver production-grade systems that meet the demands of AI/ML, high-performance computing, and enterprise analytics.

REQUIRED QUALIFICATIONS

• 12+ years of engineering experience in distributed systems, operating systems, or storage platform engineering.
• 5+ years of experience leading multi-team organizations delivering core systems software in production environments.
• Strong expertise in systems programming (C, C++, Rust) and deep knowledge of concurrency, memory models, and network programming.
• Proven track record designing and scaling services related to task scheduling, locking, memory, and I/O performance.
• Experience managing components at the intersection of infrastructure and application performance, especially in multi-tenant platforms.
• Excellent communication, roadmap planning, and cross-functional leadership skills.

PREFERRED QUALIFICATIONS

• Experience with SPDK, RDMA, DPDK, or high-performance storage stacks.
• Knowledge of distributed coordination protocols, key-value stores, or scalable metadata architectures.
• Background in AI/ML, HPC, or cloud-native infrastructure (Kubernetes, microservices, etc.).
• Familiarity with observability tools (e.g., tracing frameworks, profilers, Prometheus, OpenTelemetry).

Please refer the Job description for details