Staff Software Engineer – Infinia IO Path at Data Direct Networks
Home Office, , Germany -
Full Time


Start Date

Immediate

Expiry Date

15 Sep, 25

Salary

0.0

Posted On

15 Jun, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Design Principles, Distributed File Systems, Mechanisms, Data Models, Profiling Tools, Data Infrastructure, Memory Management

Industry

Information Technology/IT

Description

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:

STAFF SOFTWARE ENGINEER – IO PATH

We are looking for a Staff Software Engineer to join the Infinia IO Path Team, the core engine driving performance, scalability, and reliability across DDN’s next-generation Data Intelligent Platform. You’ll work alongside top engineers and report directly to a Sr. Engineering Manager focused on erasure coding, SPDK integration, and distributed concurrency control — shaping the future of extreme-scale I/O in AI and data-intensive environments.
In this role, you will serve as a technical authority, responsible for architecting and optimizing the I/O stack, influencing design decisions, mentoring other engineers, and delivering robust, high-performance solutions that power mission-critical workloads.

REQUIRED QUALIFICATIONS

  • 10+ years of experience building large-scale systems software in C/C++.
  • Deep understanding of I/O path optimization, storage scheduling, memory management, and data layout strategies.
  • Proven experience implementing erasure coding, data redundancy, and recovery algorithms in a distributed context.
  • Hands-on experience integrating or optimizing with SPDK or similar user-space storage frameworks.
  • Strong knowledge of distributed concurrency, locking mechanisms, and fault-tolerant design principles.
  • Familiarity with performance profiling tools, memory allocators, and benchmarking methodologies.
  • Excellent debugging skills, with the ability to diagnose complex race conditions, performance regressions, and hardware/software interactions.

PREFERRED QUALIFICATIONS

  • Experience working in high-performance computing (HPC), AI data infrastructure, or large-scale storage platforms.
  • Knowledge of NVMe-oF, RDMA, and other high-speed I/O protocols.
  • Familiarity with cluster schedulers, resource orchestration, or containerized I/O workloads.
  • Exposure to distributed file systems, object storage layers, or hybrid data models.
  • Background in implementing monitoring hooks, observability layers, or self-healing I/O subsystems.
Responsibilities

Please refer the Job description for details

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