Note: The job is a remote job and is open to candidates in USA. DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation. They are seeking a Senior Software Engineering Manager to lead the engineering organization responsible for their KV Cache Platform, focusing on building scalable, low-latency distributed systems that support AI inference.
Responsibilities
- Lead, mentor, and grow a geographically distributed team of software engineers and technical leaders, fostering a culture of technical excellence, innovation, ownership, and collaboration
- Define and execute the technical strategy and roadmap for the KV Cache Platform, ensuring scalability, reliability, security, and operational excellence
- Drive the architecture, development, and delivery of distributed systems supporting AI inference, GPU memory optimization, distributed caching, RDMA networking, GPUDirect Storage, NVIDIA BlueField DPUs, and emerging AI infrastructure technologies
- Partner closely with Product Management, Sales, Customer Engineering, NVIDIA, and strategic technology partners to prioritize customer requirements, drive proof-of-concepts (POCs), influence product direction, and successfully deliver customer deployments
- Own day-to-day engineering execution, including feature development, release planning, bug triage, production issues, customer escalations, and cross-functional execution to ensure timely, high-quality software delivery
- Establish engineering best practices for software quality, observability, automation, performance, testing, and production readiness
- Collaborate across engineering, infrastructure, and hardware teams to deliver scalable, production-ready AI infrastructure while developing future engineering leaders and driving continuous improvement
Skills
- 15+ years of experience building distributed systems, cloud infrastructure, storage platforms, or AI infrastructure software
- 7+ years leading high-performing software engineering organizations, including geographically distributed teams
- Proven experience delivering large-scale distributed infrastructure products from architecture through production deployment
- Strong background in distributed systems, Linux, networking, performance engineering, and cloud-native architectures
- Hands-on programming experience with Go and Python; experience with C/C++ is a plus
- Demonstrated ability to lead cross-functional initiatives and influence technical direction across multiple organizations
- Experience building AI infrastructure, LLM serving platforms, distributed caching systems, or high-performance storage solutions
- Experience with technologies such as NVIDIA Dynamo, TensorRT-LLM, Triton, RDMA, GPUDirect Storage, BlueField DPUs, Kubernetes, or related AI infrastructure
- Background in HPC, distributed storage, networking, or enterprise infrastructure software
- Experience working directly with strategic customers, technology partners, OEMs, or hyperscalers to deliver enterprise AI solutions
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