Remote jobs in the United States

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Added 5 mins ago
CW
Senior Data/AI Engineering
Cricket Wireless LLC
Remote, United States
- $128,400 to $192,600 USD / year
…Databricks, Snowflake), programming languages (e.g., Java, Scala, Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (e.g., Azure, AWS,…
Added 7 mins ago
Director, Clinical Data Analytics
Jazz Pharmaceuticals, Inc.
Remote, United States
…Statistical Programming (IDASP) department. Reporting directly to the Senior Director, Head of Integrated Data Analytics & Statistical Programming, this individual is responsible for…
Added 9 mins ago
I
Senior Software Engineer, JSTOR Stewardship
ITHAKA
Remote, United States
- $112,240 to $140,300 USD / year
ITHAKA is looking for a Mid/Senior Software Engineer (Frontend Focus) to join the JSTOR Stewardship team.
Added 10 mins ago
T&
Operations and Data Assistant
Turner & Townsend
Remote, United States
- $110,000 to $130,000 USD / year
Perform exploratory and routine data analysis to identify trends, patterns, and data anomalies under senior guidance.
Added 16 mins ago
Senior Deployment Engineer - Public Sector
Celonis
Remote, United States
Added 20 mins ago
Database Advisor
Federal Express Corporation
Remote, United States
…SQL (for Applications/Reporting; Advanced (Shell/PowerShell/Python) Scripting for Automation; Advanced Data Security and Compliance; Advanced Database Management; Advanced Cloud Data…
Added 21 mins ago
Engineering Manager, Machine Learning, Ranking
ZipRecruiter
Remote, United States
…high-priority, high-impact role where you will lead a highly capable, senior team of Data Scientists and Machine Learning Engineers. We're looking for engineering managers who can own…
Added 26 mins ago
Software Engineer III, Simulation
Agility Robotics
Remote, United States
Agility Robotics is building the world's most capable humanoid robots, and we're looking for a senior engineer to help build the simulation software at the foundation of it. You'll be one…
Added 27 mins ago
F
Senior Data Scientist
Foley
Remote, United States
- $140,000 to $200,000 USD / year
As a Senior Data Scientist on Foley's Value Creation Office (VCO) team, you will lead Foley's research process alongside our Chief AI Officer. You will find where the value is in Foley's…
Added 27 mins ago
Senior Software Engineer (Python) - Remote
Mitratech
Remote, United States
Have a minimum of 5 years of software engineering experience developing SaaS applications, with strong hands-on experience in our stack: Python, React, AWS (Lambda, DynamoDB).
Added 40 mins ago
Senior Product Engineer, Full Stack
SentiLink
Remote, United States
As a Senior Software Engineer, Full Stack you will be responsible for the development and maintenance of our web application and platform that is used for Fraud analysis. You will be…
Added 40 mins ago
Senior Software Engineer, Frontend
SentiLink
Remote, United States
As a Senior Software Engineer, Full Stack you will be responsible for the development and maintenance of our web application and platform that is used for Fraud analysis. You will be…
Added 40 mins ago
Senior Software Engineer, Full Stack
SentiLink
Remote, United States
As a Senior Software Engineer, Full Stack you will be responsible for the development and maintenance of our web application and platform that is used for Fraud analysis. You will be…
Added 50 mins ago
Sr Software Engineer - Remote
WellSky Corporation
Remote, United States
We are looking for passionate problem-solvers to join us as Senior Software Engineers. Whether your expertise lies in distributed backend systems, modern frontend frameworks, or cloud…
Added 51 mins ago
Senior AI Solution Architect
Staples Canada
Remote, United States
As the Senior AI Solution Architect, you will be a business-embedded technical leader responsible for identifying, shaping, and rapidly delivering AI-enabled solutions to high-value…
Added 1 hour ago
Senior Scientific Software Engineer (Fed Gov) 3850
RE/SPEC Inc.
Remote, United States
RESPEC is seeking a Senior Scientific Software Engineer to support scientific computing work for a large National Laboratory. You’ll help sustain and modernize computational modeling…
Added 1 hour ago
Principal Engineer
Parachute Health
Remote, United States
Raise the Bar: Grow Staff and Senior engineers into technical leaders. Shape hiring and leveling, including the architecture interview.
Added 1 hour ago
Full Stack Developer
RS&H
Remote, United States
We are seeking a Senior Full Stack Developer to support priority initiatives across our aviation, federal, transportation, aerospace, health & science, and corporate market sectors…
Added 1 hour ago
Senior Software and Integrations Engineer
Propeller Industries
Remote, United States
Title: Senior Software and Integrations Engineer
Added 1 hour ago
Controls Engineer
Valmont Industries Inc.
Remote, United States
…concept through commissioning, working under the guidance of senior engineers. The Controls Engineer contributes to reliable, safe, and efficient operation of automated equipment while…
Added 1 hour ago
Senior Software Engineer, Tooling
Docker
Remote, United States
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 2 hours ago
RU
Backend Reliability / Production Operations Engineer
Randstad USA
Remote, United States
- $80 to $87 USD / hour
You have hands-on experience with Java and/or Python backend services, Kubernetes, and a major cloud provider (GCP preferred)
Added 2 hours ago
RU
Senior Backend Reliability/Production Operations
Randstad USA
Remote, United States
- $100 to $107 USD / hour
You have hands-on experience with Java and/or Python backend services, Kubernetes, and a major cloud provider (GCP preferred)
Added 3 hours ago
EA
Senior Full Stack Software Engineer
ExTrac AI
Remote, United States
- $165,000 to $180,000 USD / year
We are looking for a Senior Software Engineer based in the Washington DC area to work across ExTrac's backend services and the infrastructure they run on. This is a generalist role by…
Added 3 hours ago
Senior Multi-Cloud DevOps Engineer
Select Source Solutions
Remote, United States
Our client is seeking a remote Senior Multi-Cloud DevOps Engineer to join an Agile engineering team supporting enterprise cloud modernization and emerging technology initiatives in an…

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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