Remote jobs in the United States

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Added 59 mins ago
Senior Product Engineer, Full Stack
SentiLink
Remote, United States
As a Senior Software Engineer, Full Stack you will be responsible for the development and maintenance of our web application and platform that is used for Fraud analysis. You will be…
Added 59 mins ago
Senior Software Engineer, Frontend
SentiLink
Remote, United States
As a Senior Software Engineer, Full Stack you will be responsible for the development and maintenance of our web application and platform that is used for Fraud analysis. You will be…
Added 59 mins ago
Senior Software Engineer, Full Stack
SentiLink
Remote, United States
As a Senior Software Engineer, Full Stack you will be responsible for the development and maintenance of our web application and platform that is used for Fraud analysis. You will be…
Added 1 hour ago
K
Junior Full Stack Developer
Kforce
Remote, United States
- $25 to $30 USD / hour
Kforce has a client that is seeking a Junior Full Stack Developer in Armonk, NY.
Added 1 hour ago
K
AI Vibe Coding Engineer
Kforce
Remote, United States
- $22 USD / hour
…work with LLMs, AI agents, RAG, MCP servers, APIs, and modern full-stack frameworks, collaborating closely with product, UX, and engineering…
Added 1 hour ago
Full Stack Developer
RS&H
Remote, United States
We are seeking a Senior Full Stack Developer to support priority initiatives across our aviation, federal, transportation, aerospace, health & science, and corporate market sectors…
Added 1 hour ago
Senior Software and Integrations Engineer
Propeller Industries
Remote, United States
You deliver full-stack, hands-on work from data model to API to interface. The stack is TypeScript across a React front end and Node.js (Express, Prisma) services, with Python (FastAPI,…
Added 2 hours ago
Full Stack Java/Angular Developer
Information Gateways Inc.
Remote, United States
The Full-Stack Java / Angular Developer will support the maintenance, enhancement, and modernization of complex Federal enterprise applications. This role is responsible for designing,…
Added 5 hours ago
IG
DevOps Engineer (Integrations & Automation)
Insight Global
Remote, United States
- From $82 USD / hour
…be ready to contribute to in-house application builds as the full-stack team…
Added 5 hours ago
Senior Storage Engineer
Runware
Remote, United States
…and a disk, node or whole site failing is invisible to the developer calling our…
Added 6 hours ago
Sr. Full Stack Software Engineer – AI Agents
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for a Sr. Full Stack Software Engineer – AI Agents based in the United…
Added 10 hours ago
J
Technical Lead
Jobgether
Remote, United States
- $140,000 to $175,000 USD / year
Take on a senior technical role developing and maintaining secure, enterprise-grade applications across the full software development lifecycle. You’ll combine full-stack engineering…
Added 13 hours ago
Senior Fullstack Engineer (Matchmaking)
Jobgether
Remote, United States
Lead the full product development lifecycle for selected features, from technical design and implementation to deployment and maintenance.
Added 16 hours ago
SA
Senior Full-Stack Engineer (Django / Next.js)
Search Atlas
Remote, United States
- $25 to $30 USD / hour
We're looking for a Senior Full-Stack Engineer to own features end-to-end, from database schema to shipped UI, across the products our customers rely on every day. If you want real…
Added 16 hours ago
E
Snr Platform Engineer - Salesforce & Integrations
e.Republic
Remote, United States
- $100,000 to $115,000 USD / year
This hybrid role combines advanced full-stack software engineering with hands-on Salesforce development, architecture, and automation. The position partners with Engineering, Salesforce…
Added 18 hours ago
SC
Senior Staff Software Engineer
SewerAI Corporation
Remote, United States
- $160,000 to $180,000 USD / year
We're seeking an experienced Senior Full-Stack Software Engineer to join our SewerAI team working on an innovative automated sewer inspection analysis and management platform. You'll work…
Added 19 hours ago
Software Engineer
Zwift
Remote, United States
…and authentication journeys. In this role, you will work in a full-stack team to deliver features that improve our subscription management, prospecting customer experience, zwift.com…
Added 21 hours ago
H
Principal Backend Engineer, Enterpise Platform
Horizon3
Remote, United States
- $255,000 to $295,000 USD / year
- Strong SQL and relational data modeling experience, along with API and service design for production systems.
Added 21 hours ago
H
Senior Full-Stack Engineer, Autonomous Defense
Horizon3
Remote, United States
- $195,000 to $235,000 USD / year
As a Senior Full-Stack Engineer on the Autonomous Defensive team, you'll build the platform that NodeZero's defensive agents run on. Our AI researchers define what these agents should…
Added 21 hours ago
Principal AI Architect
SecurityScorecard
Remote, United States
Like the rest of our architecture function, you'll prototype to prove out decisions rather than implement full solutions, and you'll set direction through Technical Design Reviews (TDRs),…
Added 21 hours ago
Software Engineer II
Samsara
Remote, United States
Architect, build, test, and deliver full-stack products across reliable services, APIs, and web and mobile experiences, using technologies such as Golang, GraphQL, TypeScript, React, React…
Added 22 hours ago
Senior .NET AppDev Consultant
Trility Consulting
Remote, United States
Full-stack development experience with a background in event-driven architectures, API development, and building user-facing applications.
Added 23 hours ago
Senior Software Engineer - Mobile
Human Interest
Remote, United States
Partner with backend engineers on API contracts and backend-driven UI, and help define our native and cross-platform direction.
Added 23 hours ago
AI Delivery Engineer - AWS Bedrock
Kunai
Remote, United States
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with…
Added 23 hours ago
Software Engineer II Data
CDW, LLC
Remote, United States
Implement pipelines supporting batch, incremental, API, file, database, and event-based integration patterns.

Runware

Senior Storage Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

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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