Jobs in the United States

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Added 2 mins ago
Forward Deployed Engineer II, Generative AI, Google Cloud
Google
Sunnyvale, CA
Experience architecting AI systems on cloud platforms (e.g., Google Cloud platform (GCP).
Added 8 mins ago
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Data Integration Engineer
Jobgether
Remote, United States
- $73,500 to $105,600 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 Data Integration Engineer based in the United States.
Added 10 mins ago
Lead Information Security Engineer - Red Team
Lumen
Bismarck, ND
The Lead Information Security Engineer within Product and Platform Security provides technical leadership and hands-on execution across Red Team functions. This role leverages advanced…
Added 10 mins ago
EG
Automated Test Engineer
Eliassen Group
Bismarck, ND
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 13 mins ago
Senior Storage Engineer
Runware
San Jose, CA
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…
Added 13 mins ago
Senior Storage Engineer
Runware
San Francisco, CA
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…
Added 13 mins ago
Principal Engineer, Model Performance
Runware
San Francisco, CA
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…
Added 13 mins ago
Principal Engineer, Model Performance
Runware
San Jose, CA
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…
Added 13 mins ago
Senior Storage Engineer
Runware
Palo Alto, CA
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…
Added 15 mins ago
Lead Information Security Engineer - Red Team
Lumen
Carson City, NV
The Lead Information Security Engineer within Product and Platform Security provides technical leadership and hands-on execution across Red Team functions. This role leverages advanced…
Added 15 mins ago
EG
Automated Test Engineer
Eliassen Group
Carson City, NV
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 15 mins ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
California, CA
- $187,000 to $225,000 USD / year
Join an early-stage cybersecurity team building a platform to secure and control enterprise AI. You will work closely with enterprise security and IT teams while helping shape the product…
Added 23 mins ago
Principal Software Engineer
Pearson
Remote, United States
Individuals in the Software Engineer roles design, develop, test, and maintain software applications aligned with the company’s technical and functional architecture. They translate complex…
Added 25 mins ago
EG
Automated Test Engineer
Eliassen Group
Denver, CO
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 31 mins ago
TT
Sr Satellite Systems Engineer
The Tomorrow Compani
Golden, CO
- $130,000 to $165,000 USD / year
Added 31 mins ago
SC
Principal Consultant
Softchoice Corporati
Denver, CO
- $158,720 to $198,400 USD / year
…spanning Amazon Web Services, Microsoft Azure, and Google Cloud Platform. You are the person who walks into a C-level conversation, translates complex business challenges into cloud…
Added 32 mins ago
BIOS Firmware Engineer
Advanced Micro Devices, Inc
Austin, TX
AMD’s Server BU is looking for an experienced Lead System Firmware Engineer to lead, debug and integrate firmware solutions for components in Server BU product line EPYC SP7, SP5 family.…
Added 32 mins ago
PMTS Hardware Development Eng.
Advanced Micro Devices, Inc
Santa Clara, CA
We are seeking a highly experienced Principal Engineer for Co-Packaged Optics (CPO) and Near-Packaged Optics (NPO) to lead the architecture, design, implementation, integration, and…
Added 32 mins ago
Software Development Test Engineer Lead AI Platform
Advanced Micro Devices, Inc
Santa Clara, CA
AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly…
Added 32 mins ago
Senior Post Silicon Validation and Software Engineer
Advanced Micro Devices, Inc
Austin, TX
We are looking for a dynamic, energetic, and visionary Senior Technical Validation Engineer to join our growing datacenter CPU post silicon validation team, in particular in the areas of…
Added 35 mins ago
Sr. Software Engineer - Sensor (Hybrid, US)
CrowdStrike, Inc.
Sunnyvale, CA
…redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is…
Added 43 mins ago
SC
Senior DevOps Engineer/Site Reliability Engineer-East Coast
Stellar Cyber
Remote, United States
- $165,000 to $215,000 USD / year
The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems.
Added 43 mins ago
SC
Security Machine Learning Engineer/ Researcher
Stellar Cyber
Remote, United States
- $150,000 to $215,000 USD / year
To accelerate our growth, we are seeking a highly skilled and experienced Machine Learning Engineer / Researcher to join our cybersecurity team. As a Machine Learning Engineer / Researcher,…
Added 43 mins ago
SC
Senior / Staff Software Engineer - Integration Team
Stellar Cyber
Remote, United States
- $160,000 to $245,000 USD / year
We are looking for a Senior or Staff Software Engineer to take ownership of one or more integration domains on our Automation-Driven Open & Unified SecOps Platform (powering our AI-driven…
Added 43 mins ago
SC
Machine Learning Infrastructure Engineer - LLM & Agentic AI
Stellar Cyber
Remote, United States
- $150,000 to $215,000 USD / year
…agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and…

Runware

Senior Storage Engineer

San Jose, CA, United States

Apply on jobs.workable.com About employer

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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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Jobs in the United States