Jobs in the United States

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Added 1 min ago
Director Principal Technical Program Manager, Delivery Enablement and Field Integration, Global Data Centers
Google
Sunnyvale, CA · Atlanta, GA
…platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the…
Added 3 mins ago
Application Engineer
QUANTUM COMPUTING, INC.
Hoboken, NJ
QCi is seeking a hands-on Application Engineer to deploy, integrate, test, and support QCi photonic and quantum computing hardware in laboratory and customer environments. The primary focus…
Added 4 mins ago
Sr. Software Integration Engineer
Rivian
Normal, IL
Added 9 mins ago
Mechanical Systems Verification Engineer, Google Geo
Google
Mountain View, CA
…reporting) for equipment in outdoor environments, or experience with hardware testing, process validation, or software…
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Senior Vision System Engineer, Amazon Robotics
Amazon.com Services LLC
North Reading, MA · Westborough, MA
We're building the next generation of vision and perception systems that give machines the power to see, understand, and act, and we need a Vision Systems Engineer to lead the charge from…
Added 10 mins ago
Electronics Design Engineer (PCB)
Actalent
Hampton, VA
Job Title: Electronics Design Engineer (PCB)Job DescriptionThis role focuses on the design, development, and integration of advanced electronic systems for cutting-edge flight missions. You…
Added 11 mins ago
BE
Embedded Software Engineer
Boston Engineering Corporation
Waltham, MA
- $85,000 to $128,000 USD / year
Boston Engineering is seeking an Embedded Software Engineer to develop software for robotics, autonomous systems, medical devices, defense technologies, and commercial products.
Added 13 mins ago
Principal/Senior Principal Systems Engineer *
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United States
Proven experience with ground systems engineering, systems integrator or software engineer
Added 13 mins ago
Sr. Principal System Engineer - USAF IFC Manager
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…new capability insertion. The IFC Lead partners closely with Systems Engineering, Software, Hardware, Integration & Test, Safety, and Cyber to reduce integration risk and enable…
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Remote, United States
Experience with the following concepts: technical consulting, cloud software, cloud-connected hardware, computer networking, business systems integration, automation and control systems
Added 21 mins ago
Principal Engineer Embedded/Sr Principal Engineer Embedded Software
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McClellan, CA
As an Engineer of Embedded software you will design, develop, operate and maintain software and firmware components and computing systems software to be applied to and integrated with…
Added 21 mins ago
Intern, Software Engineer
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Nashville, TN
Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and…
Added 22 mins ago
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Redondo Beach, CA
…evaluation of vendor products, providing recommendations to purchase hardware and software, providing backup recovery, maintaining system documentation, tuning system performance, building…
Added 22 mins ago
Network Engineer - Level 3/4 (AHT)
Northrop Grumman
Redondo Beach, CA
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Added 22 mins ago
Senior Systems Engineer
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Create and maintain interface control documentation to ensure robust integration between hardware, and data systems.
Added 23 mins ago
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GA-ASI is seeking a Payload Integration Project Engineer to lead the design, development, integration, test, validation, deployment, and sustainment of communications intelligence (COMINT)…
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UAV Systems Specialist IV
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General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as…
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As a Systems Integration Engineer for the Manufacturing Test and Diagnostics Engineering team, you will be part of the team that designs, develops, and executes systems and processes…
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Simulation Integration Engineer (Experienced or Senior)
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The selected candidate will be responsible for contributing to Southern California Aeronautical System Integration & Test (ASIT) program deliverables for multiple airplane programs. The…
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Autonomy Engineer - Millennium Space Systems
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El Segundo, CA
…Missions (DRM), and participate in comprehensive end-to-end software integration, validation, and…
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Staff Engineer 3
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This is a hands-on role spanning control-system hardware and software, with a particular focus on EPICS, equipment integration, operational support, reliability and modernization. You will…
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The Principal RF Test Engineer will work closely with RF, electrical, systems, software, manufacturing, teams to ensure products meet performance, reliability, and contractual requirements.…
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Software Product Manager IV
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As a Systems Engineer, you’ll design, integrate, and optimize complex systems that drive the semiconductor industry forward. Your expertise in systems thinking and problem-solving is…
Added 24 mins ago
Platform Engineer I
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The Raytheon team is looking for a Platform Engineer to support the Missile Defense Sensors (MDS) Software (SW) Department. The MDS SW mission is to provide world-class Radar and Command…
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Systems Engineer 1
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The Hardware Engineering Team provides engineering design & development services to a wide range of products within Raytheon. The Bike Shop department is seeking a Systems Engineer to work…

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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