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Remote City Storage Systems Jobs (NOW HIRING)

Reddit

Engineering Manager, Search Storage

Our systems satisfy needs ranging from classical ranking/search (BM25) to more modern and novel ... Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one ...

GoDaddy

Senior Ceph Storage Engineer

Austin, TX · On-site +1

Remote: This is a remote position, so you'll be working remotely from your home. You may ... Experience with other distributed storage systems (e.g., GlusterFS, HDFS). * Familiarity with ...

Vytwo

Storage Engineer

Prosper, TX · Remote

Blue Bell, PA 100% Remote Required Skills - * 5+ years of dedicated enterprise storage engineering ... Networking & Systems: Strong grasp of storage networking concepts (TCP/IP, DNS, VLANs, LACP) and ...

Intersect

BESS Engineer

Charleston, WV · Remote

... remote culture. About This Role As part of Intersect's Engineering team, you'll help design and deliver utility-scale battery energy storage systems that enable reliable, scalable clean energy ...

Databento

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Maintaining large storage clusters. * Instrumenting performance measurement and alerts. * Improving ...

SOLV Energy

BESS Engineer I (Remote)

OR · On-site +1

$79K - $99K/yr

Review the design and engineering of utility scale battery energy storage systems (BESS), ensuring ... recruiter. #LI-Remote Job Number: J13227 If you're interested in a meaningful career with a ...

Tesla

Systems Diagnostics Engineer

... PV/storage systems • Collaborate with engineering teams on root cause analysis, specialty ... remote troubleshooting and log analysis • Strong TCP/IP networking knowledge with practical ...

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All JobsRemote City Storage Systems Jobs

Remote City Storage Systems information

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$46K

$102.1K

$153K

How much do remote city storage systems jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote city storage systems in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote City Storage Systems vs Remote Data Center Technician?

AspectRemote City Storage SystemsRemote Data Center Technician
CertificationsIT certifications, network, and storage certificationsNetworking, server, and hardware certifications
Work EnvironmentData storage facilities, server rooms, remote locationsData centers, server rooms, remote sites
Industry UsageStorage and data management industryIT infrastructure and data center operations

Remote City Storage Systems and Remote Data Center Technicians both require IT and hardware certifications, work in data-related environments, and serve the tech industry. The main difference lies in their focus: Remote City Storage Systems specializes in storage solutions, while Remote Data Center Technicians handle broader data center hardware and network infrastructure.

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What cities are hiring for Remote City Storage Systems jobs? Cities with the most Remote City Storage Systems job openings:
What are the most commonly searched types of City Storage Systems jobs? The most popular types of City Storage Systems jobs are:
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What job categories do people searching Remote City Storage Systems jobs look for? The top searched job categories for Remote City Storage Systems jobs are:
Remote City Storage Systems jobs near you
Infographic showing various Remote City Storage Systems job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 16% Part Time, 7% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $102,067 per year, or $49.1 per hour.
Principal Software Engineer - Large-Scale LLM Memory and Storage Systems

Principal Software Engineer - Large-Scale LLM Memory and Storage Systems

Nvidia

Santa Clara, CA • On-site, Remote

$158K - $212K/yr

Full-time

Posted 17 days ago

Job description

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and reasoning models across multi-node distributed environments. Built in Rust for performance and Python for extensibility, Dynamo orchestrates GPU shards, routes requests, and manages shared KV cache across heterogeneous clusters so that many accelerators feel like a single system at datacenter scale. As large language models rapidly outgrow the memory and compute budget of any single GPU, this platform enables efficient, resilient deployment of cutting-edge LLM workloads.


We are seeking a Principal Systems Engineer to define the vision and roadmap for memory management of large-scale LLM and storage systems.


What you'll be doing:

  • Design and evolve a unified memory layer that spans GPU memory, pinned host memory, RDMA-accessible memory, SSD tiers, and remote file/object/cloud storage to support large-scale LLM inference.

  • Architect and implement deep integrations with leading LLM serving engines (such as vLLM, SGLang, TensorRT-LLM), with a focus on KV-cache offload, reuse, and remote sharing across heterogeneous and disaggregated clusters.

  • Co-design interfaces and protocols that enable disaggregated prefill, peer-to-peer KV-cache sharing, and multi-tier KV-cache storage (GPU, CPU, local disk, and remote memory) for high-throughput, low-latency inference.

  • Partner closely with GPU architecture, networking, and platform teams to exploit GPUDirect, RDMA, NVLink, and similar technologies for low-latency KV-cache access and sharing across heterogeneous accelerators and memory pools.

  • Mentor senior and junior engineers, set technical direction for memory and storage subsystems, and represent the team in internal reviews and external forums (open source, conferences, and customer-facing technical deep dives).

What we need to see:

  • Masters or PhD or equivalent experience

  • 15+ years of experience building large-scale distributed systems, high-performance storage, or ML systems infrastructure in C/C++ and Python, with a track record of delivering production services.

  • Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and experience designing systems that span multiple tiers for performance and cost efficiency.

  • Distributed caching or key-value systems, especially designs optimized for low latency and high concurrency.

  • Hands-on experience with networked I/O and RDMA/NVMe-oF/NVLink-style technologies, and familiarity with concepts like disaggregated and aggregated deployments for AI clusters.

  • Strong skills in profiling and optimizing systems across CPU, GPU, memory, and network, using metrics to drive architectural decisions and validate improvements in TTFT and throughput.

  • Excellent communication skills and prior experience leading cross-functional efforts with research, product, and customer teams.

Ways to stand out from the crowd:

  • Prior contributions to open-source LLM serving or systems projects focused on KV-cache optimization, compression, streaming, or reuse.

  • Experience designing unified memory or storage layers that expose a single logical KV or object model across GPU, host, SSD, and cloud tiers, especially in enterprise or hyperscale environments.

  • Publications or patents in areas such as LLM systems, memory-disaggregated architectures, RDMA/NVLink-based data planes, or KV-cache/CDN-like systems for ML.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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