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Senior Infrastructure Engineer, AI & ML, Penguin Random House (Open to Remote)
Bertelsmann-Jobs
Remote, United States
- $185,000 to $210,000 USD / year
…to production quickly. We are hiring a Senior Infrastructure Engineer to build and maintain the foundational systems that support this…
Added 7 mins ago
AI Engineer
Awesome Motive
Remote, United States
As an AI Engineer, you're responsible for designing, building, and shipping AI systems that real people use, from AI features inside products used on over 30 million websites to internal…
Added 30 mins ago
AI Engineer
Awesome Motive
Remote, United States
As an AI Engineer, you're responsible for designing, building, and shipping AI systems that real people use, from AI features inside products used on over 30 million websites to internal…
Added 2 hours ago
Manufacturing Engineer II (2nd Shift, Onsite)
Collins Aerospace
Seminole, FL
Collins Aerospace is a seeking a Manufacturing Engineer to work onsite in Largo, FL. The onsite Manufacturing Engineer 's (ME) primary role is to support the technical performance of…
Added 2 hours ago
Manufacturing Engineer
Times Microwave Systems
West Palm Beach, FL
The Manufacturing Engineer supports the Production Department by resolving issues related to components, equipment and processes used in the manufacture of RF coaxial cable assemblies. The…
Added 4 hours ago
Weld Engineer/Welding Engineering Technologist
THE TAYLOR GROUP INC
Louisville, MS
Taylor Defense Products is seeking a highly motivated Weld Engineer or Welding Engineering Technologist to support the development, qualification, production, and continuous improvement of…
Added 6 hours ago
Network Support Engineer, OISL
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
We are seeking a Network Support Engineer for our Network Operations team within the Optical Inter-Satellite Link (OISL) organization. This is a high-impact role where you will be a key…
Added 8 hours ago
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AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 12 hours ago
Nuclear Mechanical Engineer 2 - 31050
HII
Newport News, VA
…operational readiness of the Fleet. As an Nuclear Mechanical Engineer 2, you will contribute to complex overhaul and modernization initiatives by developing engineering solutions, preparing…
Added 12 hours ago
Nuclear Engineer 3 - 31033
HII
Newport News, VA
Research and develop processes, tooling, and material requirements to support nuclear propulsion work.
Added 12 hours ago
Nuclear Engineer 2 - 31046
HII
Newport News, VA
Research and develop processes, tooling, and material requirements to support nuclear propulsion work.
Added 12 hours ago
Nuclear Engineer 4 - 31049
HII
Newport News, VA
Researching and planning processes, tooling, and material requirements to deliver fully engineered solutions for the execution of nuclear work.
Added 15 hours ago
Delivery Management Engineer III
Deloitte
Kansas City, MO
Delivery Management Engineer III- AI & Engineering
Added 15 hours ago
Delivery Management Engineer III
Deloitte
Saint Louis, MO
Delivery Management Engineer III- AI & Engineering
Added 15 hours ago
Korean Bilingual Process Engineer
Cesna Recruitment
Tarboro, NC
Under the general supervision and guidance of the Engineering Manager or senior engineer to whom assigned, perform a variety of functions in the development and/or improvement of production…
Added 15 hours ago
SSL Production Lab Engineer, Space Simulation Lab
Amazon
REDMOND, WA
We are seeking a Lab Engineer to run day-to-day lab operations and support production and hardware testing. You'll build and maintain test fixtures, manage lab resources and equipment, and…
Added 15 hours ago
Software Development Engineer, Fees Tech
Amazon
Seattle, WA
…agentic infrastructure beneath them. If you are the kind of engineer who wants to see the direct impact of what you ship, you will see it…
Added 16 hours ago
Network Development Engineer II , ALG Software and Network Integration and Test
Amazon
NORTHRIDGE, CA
We're looking for a Network Development Engineer who can design, build, and operate network infrastructure across data center and engineering environments. You'll own architectures that…
Added 17 hours ago
Staff Data Engineer
DAT
Denver, CO
Infrastructure & Tooling: Hands-on experience with Terraform, Airflow, Tableau, MySQL, and Oracle.
Added 17 hours ago
OS
Software Engineer
Odyssey Systems Cons
Colorado Springs, CO
- $31,533 USD / year
We are seeking a Mid-Level Software Engineer to contribute to the development of the Multimode Threat Engagement Simulation Platform under the technical direction of the Lead and Senior…
Added 19 hours ago
Sr Platform Engineer
Mayo Clinic
Rochester, MN
Under the direction of the Director – Platform Technology and the Principal Platform Integration Engineer, this team member will support the direct execution and delivery of technical…
Added 19 hours ago
BN
Senior Infrastructure Engineer - GPU Compute
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale as it becomes a leader in AI. As a Senior Infrastructure Engineer (GPU Compute), you'll build and operate the compute fabric that powers our…
Added 19 hours ago
Offensive Security AI Engineer
Micron Technology, Inc.
Boise, ID
AI will be used as a force multiplier throughout the testing lifecycle. The engineer will apply AI-assisted techniques to accelerate reconnaissance, analyze attack paths, develop and debug…
Added 20 hours ago
Technical Escalation Engineer
Blink - The Employee App
Remote, United States
…happening, and either fix it yourself using our APIs and back end tooling or hand engineering a diagnosis so complete that they can pick it up and…
Added 21 hours ago
ETL Test Engineer
IDR Inc.
Denver, CO
IDR is seeking a ETL Test Engineer to join one of our top healthcare clients!. In this role, you will help ensure the quality and reliability of cloud-based data integration and ETL…

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.

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.

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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