Santa Clara, California, United States · Remote OK
Senior+
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 …
Skills: Distributed Systems, AI Infrastructure, LLM Inference, Go, Python
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$120k–$200k/yr
Senior$520M raised
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Santa Clara, California, United States · Hybrid
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Santa Clara, California, United States · Remote OK
$115k–$160k/yr
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Santa Clara, California, United States · Hybrid
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Full-time
Posted 43d ago
~40 hrs/week
Remote in California, United States
Responsibilities
Lead and grow a geographically distributed engineering team responsible for the KV Cache Platform to accelerate large-scale LLM inference. Define the technical vision and execution strategy while partnering with NVIDIA and other stakeholders to deliver scalable AI infrastructure.
Requirements
Requires over 15 years of experience in distributed systems and 7+ years of leadership experience managing high-performing engineering organizations. Must have hands-on proficiency in Go and Python, with deep expertise in AI infrastructure and high-performance storage solutions.
Full job 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.
The Global Leader in AI and Data Intelligence Solutions.
Industry
Software Development
Company size
1,001-5,000 employees
Headquarters
Chatsworth, CA
LinkedIn followers
93,947
DDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. From hyperscalers and next-gen cloud builders to enterprises, governments, and research institutions, DDN delivers proven data intelligence at exabyte scale across hundreds of thousands of GPUs—so customers can deploy AI with confidence, accelerate time-to-value, and realize outsized returns.
Offices: 9351 Deering Avenue, Chatsworth, CA 91311, US · 10 Eagle St, Brisbane City, Queensland 4000, AU · 9950 Federal Dr, Ste 150, Colorado Springs, Colorado 80921, US · 4850 Ward Rd, 101, Wheat Ridge, Colorado 80033, US · 8320 Guilford Rd, Suites D/E, Columbia, Maryland 21046, US
Artificial IntelligenceData StorageMachine LearningAnalyticsEnterprise AIHigh-Performance ComputingGenomicsSecurityData ScienceGenerative AI
How much do Data & Analytics jobs in Santa Clara, CA pay?
Based on 862 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Santa Clara, CA right now?
There are currently 951 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
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