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TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $210,000 to $260,000 USD / year
- Three to eight years of experience as a backend or full-stack engineer, with strong backend architecture and database schema design skills.
Added 29 mins ago
Senior Software Engineer, Search
Themis Solutions Inc.
Remote, United States
Working in an agile environment with our team of full stack developers across a variety of projects.
Added 51 mins ago
Senior Software Engineer, Cloud Product Engineering
Aerospike, Inc.
Mountain View, CA
…rely on to understand and operate Aerospike Cloud. This is a full-stack role for an engineer who enjoys turning complex infrastructure into simple, polished product…
Added 59 mins ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
This is not an ML research role; you do not train foundation models. It is also distinct from traditional full-stack staff work, where systems follow deterministic logic. Two things shape…
Added 59 mins ago
Sr Software Engineer
ServiceNow
Santa Clara, CA
Design, develop, and deliver high-quality software across the full stack, with a focus on scalability, performance, and maintainability.
Added 1 hour ago
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Server Engineer Lead
TEKsystems
Oshkosh, WI
- $92,000 to $154,000 USD / year
…across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive…
Added 1 hour ago
LB
Forward Deployed Engineer
Luv Bridal
American Fork, UT
- $110,000 to $120,000 USD / year
The ideal candidate is a strong full-stack engineer with a product mindset who can independently translate business challenges into practical technology solutions.
Added 1 hour ago
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Electrical Engineer
Generalist
Somerville, MA
- $200,000 to $350,000 USD / year
This is a full stack EE role. In a typical week, you may be prototyping new sensor modules and motor controls, debugging MIPI signal integrity on the bench, writing firmware for a…
Added 1 hour ago
W
Sensor Technology Engineer
Wayve
United States
- $209,700 to $238,250 USD / year
You’ll join Wayve’s Product & Delivery (P&D) organization, working within the Sensor Architecture team to help define and integrate the sensor systems behind our end-to-end autonomy stack.
Added 1 hour ago
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Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco
Austin, TX
- Full-time
As a Full Stack Software Engineer, you will develop, build, and ship end-to-end features and bug fixes across our high-scale Java backend microservices and modern React frontend…
Added 1 hour ago
Software Systems Engineer, Data Labeling Engineering - Early Career
General Motors LLC
Sunnyvale, CA
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang, and ML model services, which powers data‑annotation pipelines and machine‑led training data…
Added 1 hour ago
TT
Founding Senior Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $225,000 USD / year
- Own full-stack development of the growth engine, with a strong focus on backend systems and infrastructure.
Added 1 hour ago
AI Engineer (AI Accelerator Program)
UCSF
San Francisco, CA
UCSF Health is seeking a highly skilled AI Engineer to design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system…
Added 1 hour ago
Software Dev Engineer II, MHLS HTS Tech
Amazon.com Services LLC
Dallas, TX
…of product features from beginning to end. You will own the full stack design and development of product features, building scale, efficiency, and a differentiated customer experiences…
Added 1 hour ago
Staff Software Engineer, CK Money
Intuit
New York, NY · Charlotte, NC
As a Staff Software Engineer on CK Money, you'll own the systems that hold our members' money: account origination and onboarding, deposits and transfers, card and payment flows, and the…
Added 1 hour ago
HA
Test Engineer
Hadrian Automation
Torrance, CA
- $135,000 to $220,000 USD / year
Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies…
Added 1 hour ago
Senior Software Developer - Environmental Services
Burns & McDonnell
Kansas City, MO
…sophisticated software programs and applications, with a focus on a full-stack, AI-enabled geospatial platforms that support our major enterprise initiatives and digital delivery offerings.…
Added 2 hours ago
Senior Staff Software Engineer
EarnIn
Mountain View, CA
We seek an experienced, passionate, and resourceful Senior Staff Software Engineer to join our product engineering team. You will work cross-functionally with various teams and contribute…
Added 2 hours ago
TH
Engineering Manager, Copilot
Twin Health
Remote, United States
- $200,000 to $220,000 USD / year
Lead, hire, and grow a team of full-stack engineers. Run 1:1s, set clear expectations, give direct feedback, and invest in each engineer's development and career growth.
Added 2 hours ago
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AI Engineer
Actalent
Seattle, WA
- $190,000 to $215,000 USD / year
Expérience en développement full stack et en conception d'API.
Added 2 hours ago
Senior Engineer – Spacecraft System Test Engineer (AI&T) - $15K Sign On Bonus
BAE Systems
Boulder, CO
BAE Systems Aerospace & Mission Systems (AMS) is seeking a Senior Engineer to support the testing and execution of space flight hardware. This role is designed for a technical professional…
Added 2 hours ago
Senior Engineer – Spacecraft System Test Engineer (AI&T)
BAE Systems
Boulder, CO
Job Description BAE Systems Aerospace & Mission Systems (AMS) is seeking a Senior Engineer to support the testing and execution of space flight hardware. This role is designed for a…
Added 2 hours ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, or similar platforms.
Added 2 hours ago
Full Stack Engineer 4
Capital One
McLean, VA
McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
Added 2 hours ago
Sr. Mobile iOS Engineer
SpaceXSI
Palo Alto, CA · NY
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models,…

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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