Jobs in the United States

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Added 9 mins ago
SentinelOne Engineer
Jobgether
Remote, United States
The SentinelOne Engineer will play a critical role in managing, securing, and optimizing advanced endpoint detection and response capabilities across mission-critical environments. In this…
Added 9 mins ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
…all applications and next steps. Our partner is looking for a Senior Software Engineer – Cloud SaaS – IE&A based in the United…
Added 9 mins ago
Senior Knowledge Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Knowledge Engineer based in the United States.
Added 9 mins ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.
Added 11 mins ago
Sr. Engineer, Software Engineer (Test Automation Developer)
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Senior Software Engineer, you will focus primarily on providing high-quality, efficient technology solutions to business partners by crafting new software applications or modifying…
Added 11 mins ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
As a Data Engineer, you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single…
Added 18 mins ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Mapfre is seeking a Senior Technical Engineering Leader to provide technical leadership for our Guidewire PolicyCenter platform and Policy Lifecycle ecosystem . This role will be…
Added 18 mins ago
Staff Engineer - Software Engineering
Capital One
Cambridge, MA
As a Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
Added 18 mins ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 19 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boston, MA
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 40 mins ago
Machine Perception (MP) Engineer – Level 6
Northrop Grumman
Gilbert, AZ
…spirit to our collaborative teams. As a Machine Perception (MP) Engineer – Level 6 located in Dulles, VA, or Gilbert, AZ , you’ll be a linchpin in missions of paramount importance, defining…
Added 40 mins ago
Staff Project Engineer / Onsite / Chandler AZ
Kelly Services
Chandler, AZ
A leading global telecommunications and satellite communications company is hiring a Staff Project Engineer for a full-time opportunity onsite in Chandler, Arizona. This organization…
Added 40 mins ago
Senior Design Manager (Data Center)
Jacobs
Chandler, AZ
…high-performance computing infrastructure. We are seeking a Senior Design Manager - AI Data Center White Space Design to provide technical leadership for the planning, design, construction,…
Added 41 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Phoenix, AZ
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 1 hour ago
Senior / Staff Software Engineer
Axella
Boston, MA
Added 1 hour ago
Lead Application Engineer
Deliberately.ai
San Francisco, CA
We are looking for a Lead Application Engineer to join our team and lead the development of key projects across our application. This senior-level role requires someone who can…
Added 1 hour ago
L
Senior Software Engineer
llm.dev
Remote, United States
- $180,000 to $200,000 USD / year
The Role: Senior Software Engineer (Web Development)
Added 1 hour ago
Head of Forward Deployed Engineering
Newcode.ai
Chicago, IL
Client delivery takes place in pods comprising a senior legal engineer, a forward-deployed engineer, and an account manager focused on retention and expansion. The senior legal engineer…
Added 1 hour ago
Forward Deployed Engineer
Newcode.ai
Chicago, IL
Sit with clients alongside the senior legal engineer and map how a piece of work gets done today: the inputs, the decisions, the exceptions, and who signs off.
Added 1 hour ago
Senior/Staff Software Engineer [Full Stack]
Prudentia Sciences
Boston, MA · New York, NY
We're seeking an exceptional Senior/Staff Software Engineer to build and lead our core platform as we scale. This is a rare opportunity to join a high-impact technology company in a major…
Added 1 hour ago
Senior Data Engineer
Leopard (NYC)
New York, NY
…built, distributed, and experienced. We are seeking a full-time Senior Data Engineer who is excited to help us build the next-generation, AI-native life insurance platform - from the…
Added 1 hour ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 1 hour ago
Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
We’re looking for a Distributed Systems Engineer to help design and build the scalable infrastructure powering data access and compute in the Vana network.
Added 1 hour ago
AR
Mid/Senior Level Robotics Software Engineer
AlphaOne Robotics
Dallas, TX
- $100,000 to $150,000 USD / year
Join our innovative robotics team as a Robotics Software Engineer, where you'll play a pivotal role in building foundational technologies for a disruptive company transforming warehouse…
Added 1 hour ago
AR
Junior Robotics Software Engineer
AlphaOne Robotics
Dallas, TX
- $60,000 to $90,000 USD / year
Join our innovative robotics team as an Junior Robotics Software Engineer, where you'll play a key role in supporting the foundational technologies for a disruptive company transforming…

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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