---
title: Senior Software Engineering Manager KV Cache Platform
description: Ddn is hiring for the Senior Software Engineering Manager KV Cache Platform role
  in Santa Clara, CA. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/senior-software-engineering-manager-kv-cache-platform-at-ddn-01a0b0c7-6dea-7e0c-9af4-d4ace6ed65d5
date: 2026-11-15T01:26:44Z
og_description: Join Ddn as Senior Software Engineering Manager KV Cache Platform in Santa Clara,
  CA. Pays $225K–$275K per year.
og_image: https://www.foundrole.com/og/b5euep.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | Ddn |
| **Location** | Santa Clara, CA (Hybrid) |
| **Salary** | $225K/yr - $275K/yr |
| **Type** | Full Time |
| **Posted** | Oct 02, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Ddn sponsors H-1B visas. It filed 27 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Ddn.

## Pay for similar jobs

Most similar jobs pay $228,000 – $317,000 a year (median $262,000).

## Description

DDN is seeking a **Senior Software Engineering Manager** to lead the engineering organization responsible for our KV Cache Platform—a distributed memory and storage platform that accelerates large-scale LLM inference across GPU clusters.

In this role, you will lead geographically distributed engineering teams responsible for building highly scalable, low-latency distributed systems that power AI inference. You will define the technical vision and execution strategy for the platform while partnering closely with Product Management, Sales, Customer Engineering, NVIDIA, and executive leadership to deliver innovative AI infrastructure that meets customer needs and supports DDN's long-term product strategy.

 

This is a highly visible leadership role with responsibility for engineering execution, customer success, roadmap delivery, and building a world-class engineering organization.

 

## 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.

## Qualifications

## Required

- 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.
## Skills

- Distributed Systems
- High-Performance Computing
- Escalation Management
- Amazon DynamoDB
- Influencing
- KV Cache
- Product Management
- Go
- Software Delivery
- NVIDIA Triton Inference Server
- Performance Optimization
- Caching
- Python
- Technical Direction
- Observability
- Automation
- AI Infrastructure
- Artificial Intelligence
- Performance Engineering
- Cloud Architecture
- Kubernetes
- Continuous Improvement Process
- Collaboration
- TensorRT-LLM
- LLM Serving
- Scalability
- Bug Triage
- AI Inference
- C++
- Remote Direct Memory Access (Rdma)
- GPU (Graphics Processing Unit)
- Large Language Models (Llm)
- Release Management
- Cloud Infrastructure
- Linux
- Product Roadmaps
- Operational Excellence
- Production Deployment
- Proof of Concept Development
- Distributed Storage Systems
- Hyperscaler Cloud Platforms

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