Jobs in the United States

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Added 2 mins ago
Staff Applied AI Engineer - Pre-Sales
Snorkel AI
New York City, NY · San Francisco, CA · NY · Palo Alto, CA
As an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution…
Added 7 mins ago
Senior AI Security Engineer
World Wide Technology
Maryland Heights, MO
World Wide Technology's Information Security organization is hiring a Senior AI Security Engineer to help secure the organization's AI and machine learning ecosystem and reduce risk across…
Added 10 mins ago
TT
Founding Senior Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $225,000 USD / year
Join an early-stage AI company building a growth platform for consumer brands. As the second engineer, you will build core product and infrastructure while helping shape the engineering…
Added 40 mins ago
J
Senior Marketing Operations Engineer
Jobgether
Remote, United States
- $149,000 to $195,000 USD / year
…all applications and next steps. Our partner is looking for a Senior Marketing Operations Engineer based in the United…
Added 48 mins ago
Mid-level Data Engineer
Amentum
Springfield, VA
As a Mid-Level Data Engineer, you will support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts,…
Added 49 mins ago
Software Development Engineer - Developer Platform
Workday, Inc.
CO
As a Software Engineer on the Developer Platform team, you will build and improve the front-end surfaces and developer tooling that make up the Workday Developer Portal. You will execute…
Added 52 mins ago
Software Engineering Architect
Cisco Systems, Inc.
RTP, NC
About the Role: Senior DevOps Engineer, Cryptographic Services
Added 53 mins ago
MT
Manufacturing Alignment Engineer (Thin FIlms/Diffusion)
Micron Technology, Inc.
Manassas, VA
- $107,000 to $254,000 USD / year
…memory and storage solutions. As a Manufacturing Alignment Engineer focused on CVD and CMP technologies, you will play a critical role in driving global manufacturing alignment, operational…
Added 53 mins ago
Senior AI/ML Engineer
Node.Digital
Remote, United States
The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efciency…
Added 53 mins ago
Junior AI/ML Engineer
Node.Digital
Remote, United States
Support data preprocessing and feature engineering pipelines under senior engineer direction: clean, normalize, and validate fraud-related datasets; handle class imbalance preparation…
Added 53 mins ago
Senior Data Engineer
Node.Digital
Remote, United States
Must have an Public Trust Clearance
Added 54 mins ago
Lead Analytics Engineer
The Knot Worldwide
Remote, United States
The Principal Analytics Engineer will architect the data and analytics infrastructure that lets our data science and analytics teams build on shared, trusted foundations across Growth &…
Added 56 mins ago
AG
Senior Vice President of Technology - Data Analytics and Population Health Consulting
Alera Group
UNAVAILABLE
- $225,000 to $250,000 USD / year
The Senior Vice President of Technology - Data Analytics and Population Health Consulting is a key member of the Vital Incite Leadership Team responsible for establishing and executing the…
Added 1 hour ago
RU
Sr. Data Engineer (Python, Pyspark, AWS)
Randstad USA
Charlotte, NC
- $60 to $65 USD / hour
We are seeking a highly skilled Senior Data Engineer to join an innovative technology-driven team. This is an exceptional opportunity to enhance your career within the Data and Analytics…
Added 1 hour ago
Sales Account Management (Ansys), Senior Staff
Synopsys
Irvine, CA
You are comfortable coordinating across teams to get things done, whether that is looping in a solutions engineer for a demo or working with legal on contract terms
Added 1 hour ago
Senior Manager, Forward Deployed AI Engineer
Clearsulting
Chicago, IL · Cleveland, OH · Columbus, OH · Dallas, TX
Added 1 hour ago
Senior Software Engineer (Platform Engineer), G&A Solutions Engineering (GSE)
Apple
Sunnyvale, CA
When you engineer for People Systems, your users are Apple’s most vital asset: its People. We are seeking a Senior Platform Engineer to shape the technical strategy for People Systems with…
Added 1 hour ago
Sr Sales Engineer - DFW
Hewlett Packard Enterprise
All, TX
Must reside in Dallas-Fort Worth area
Added 1 hour ago
Pricing & Monetization Associate
MongoDB
NY
This role is a hybrid / in-office role, with approximately three days per week in our New York City Office
Added 1 hour ago
Pricing & Monetization Associate
MongoDB
NY
This role is a hybrid / in-office role, with approximately three days per week in our New York City Office
Added 2 hours ago
RU
Sr. Data Engineer (Python, Pyspark, AWS)
Randstad USA
Charlotte, NC
- $60 to $65 USD / hour
We are seeking a highly skilled Senior Data Engineer to join an innovative technology-driven team. This is an exceptional opportunity to enhance your career within the Data and Analytics…
Added 2 hours ago
Engineer III - Technology
Edward Jones
Saint Louis, MO
Louis, MO home office locations are expected to work in the office four days per week."
Added 2 hours ago
Design Engineer
Applied Materials
Albany, NY · Santa Clara, CA · Albany · Santa Clara
Communicates complex ideas, anticipates potential objections and persuades others, often at senior levels, to adopt a different point of view
Added 2 hours ago
Sr Software Engineer, AWS Applied AI Solution – Core Services
Amazon Development Center U.S., Inc.
Seattle, WA
- Communicate complex technical designs to diverse audiences, from engineers to non-technical stakeholders and senior leadership
Added 2 hours ago
O
Senior Platform Software Engineer
Oracle
Nashville, TN
- $87,800 to $209,500 USD / year
Software Engineer - OCI User Experience Engineering Platform

Closed listing

Runware

Senior Storage Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million developers and 500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional providers. We are now building the AI Factory that runs it. The Sonic Inference Pod packs 1 MW of custom-designed compute into a 20-foot container with closed-loop, water-free cooling, sited wherever power exists. Pods are live in the US and Europe, and we are scaling to dozens of pods and tens of thousands of GPUs, all operated as one distributed fabric that reroutes traffic the moment a pod goes offline (announcement). Every one of those 400,000 models has to be on the right GPU, in the right pod, in seconds. Storage is what makes that possible. That is the job. The role As Senior Storage Engineer, you will own the storage architecture of Runware's AI supercomputer: how model weights, caches and customer data move from object storage on two continents to the NVMe and GPU memory of the node that needs them. You will design the data path, build the first version with your own hands, and set the standard for how storage is run across every pod. This is a hands-on senior individual-contributor role. You will specify the systems, benchmark them on real hardware, find the reason a 70 GB checkpoint took four minutes to load instead of twenty seconds, and then fix it at the root so it never happens again. You will work directly with our inference engine, platform and hardware teams, with our storage and NVMe vendors, and with the site teams deploying pods. Success means a cold model loads onto a GPU anywhere in the fleet in seconds, a new pod has its working set warm before it takes traffic, and a disk, node or whole site failing is invisible to the developer calling our API. What you'll do

Own the end-to-end storage architecture for the fleet: the durable object store that holds 400,000+ models, the per-pod high-throughput tier that feeds GPUs, the node-local NVMe cache, and the replication and placement logic that ties them together across the US and Europe.
Design and build the model distribution path. Decide how weights get from the source of truth to a pod, how they are chunked, deduplicated, prefetched and pinned, and how a new pod warms its working set before it takes production traffic.
Drive model load latency down and keep it down. Profile the full path from disk to GPU memory, including the kernel, file system, NVMe-oF or RDMA transport, GPUDirect Storage and the inference engine's loader, and remove the bottleneck wherever it sits.
Select, benchmark and operate the storage systems themselves: parallel and distributed file systems, object storage, NVMe drives and enclosures, and the software that manages them. Validate every choice on our hardware before it ships to a pod.
Set and hit reliability and durability targets. Own capacity planning, monitoring, alerting, drive health and failure prediction, rebuild behaviour, backup and recovery, and on-call for the storage layer.
Make storage a routine part of pod bring-up: a documented, automated playbook so that the storage tier of the next 1 MW pod is provisioned, validated and warm in hours, not weeks.
Partner with inference engine, platform and hardware engineering so that what we design is operable at scale, and feed what you learn from production back into the next generation of servers and pods.
Use AI to accelerate the work: automate benchmarks, runbooks, triage and tooling with LLM-based agents, so that a very small team can run storage for a very large fleet.
Own data residency and the operational side of storage security: encryption at rest, access control, retention and in-country placement for sovereign deployments.

Requirements

What we're looking for

8+ years in storage or systems engineering, with several of those designing and running storage at a company that operates its own hardware at scale.
A track record of building storage systems, not just operating what someone else built. You have taken a design from a whiteboard to petabytes in production and know what goes wrong between the two.
Deep, current, hands-on Linux storage expertise: the block layer, io_uring and NVMe queues, file systems such as XFS, ext4 and ZFS, the page cache, and the tools to see exactly where an I/O spends its time.
Real experience with at least one parallel or distributed file system in production (Lustre, WEKA, VAST, GPFS, Ceph or similar) and with S3-compatible object storage at petabyte scale.
Strong understanding of NVMe, NVMe-oF, RDMA transports and the networking that storage rides on. You can tell a saturated PCIe link from a slow drive from a misconfigured switch.
Fluent in a systems language (Go, Rust or C/C++) and Python, and comfortable writing the tooling, benchmarks and automation yourself rather than waiting for someone else to.
You use AI to accelerate your own output every day, for scripting, benchmarking, analysis, documentation and debugging, and you have a clear view of how a small team armed with these tools should operate differently.
Comfortable owning outcomes in a fast-moving, ambiguous environment, making decisions with incomplete information and being accountable for latency, durability and cost.
Able to travel to sites in the US and Europe as needed.

Nice to have

Experience feeding large GPU fleets for AI training or inference: GPUDirect Storage, NCCL-aware data loading, model weight caching and the loaders in vLLM, SGLang, TensorRT-LLM or similar engines.
Hands-on experience with InfiniBand or RoCE fabrics and 400G+ Ethernet from the storage side.
Experience with content-addressed or deduplicated storage, erasure coding, and multi-region replication and consistency trade-offs.
Kernel or driver contributions, or deep familiarity with SPDK, DPDK or user-space storage stacks.
Experience with Kubernetes CSI, Ceph or Rook on bare metal, and an automation stack such as Ansible and Terraform with Prometheus and Grafana observability.
Familiarity with the storage hardware supply chain: drive qualification, firmware lifecycle, enclosure and backplane design, spares and RMA economics.
Experience building or running storage to meet data residency, sovereignty or compliance requirements across jurisdictions.

Benefits

What we offer

A rare mandate: design the storage layer of an AI supercomputer from the ground up, at a company whose business depends on doing it better than anyone else, with the hardware budget and backing to match.
Meaningful stock options.
We're a remote-first collective, meeting in person twice a year to plan, brainstorm and celebrate wins. We keep core hours for collaboration and calls; outside those, you set your own schedule.
Our release cycles are fast and intense, and they're followed by real downtime. We expect you to take it.
Generous paid time off, including vacation, sick days and public holidays.
Paid maternity, paternity and caregiver leave.
Twice-yearly company retreats in inspiring locations.

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More about this job

Skills

Linux
Go
Rust
C
C++
Python
Kubernetes
Ansible
IBM Terraform
Prometheus
Grafana
Supply chain management
Firmware
Regulatory compliance

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Jobs in the United States