Runpod
AI Developer Cloud
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Rekrutterer nå
Ansetter Runpod?
Ja. Per 9. oktober 2026 har Runpod 30 ledige stillinger på Metaintro. 9 ble publisert de siste 30 dagene.
Ledige stillinger
Nyeste først. Lønn vises når annonsen oppgir den.
- Director, SecuritySikkerhetFjernarbeid · $125K – $220K/yr—Fjernarbeid$125K – $220K/yri går
- Affiliate & Creator Marketing LeadMarkedsføringFjernarbeid · $115K – $180K/yr—Fjernarbeid$115K – $180K/yr-3 d.
- Senior Video ProducerMedieproduksjonFjernarbeid · $130K – $185K/yr—Fjernarbeid$130K – $185K/yr-4 d.
- Cloud Infrastructure Security Engineer (Systems/Kernel)SikkerhetFjernarbeid · $152K – $175K/yr—Fjernarbeid$152K – $175K/yr-4 d.
- Senior ML Systems Engineer, InferenceUtviklerFjernarbeid · $150K – $220K/yr—Fjernarbeid$150K – $220K/yr-8 d.
- Account Manager (Strategic)SalgFjernarbeid · $160K – $280K/yr—Fjernarbeid$160K – $280K/yr-15 d.
- HPC Storage Engineer - West CoastDevOpsFjernarbeid · $150K – $220K/yr—Fjernarbeid$150K – $220K/yr-15 d.
- Forward Deployed Engineer APACGenerell TeknologiApac · Fjernarbeid · $100K – $160K/yrApacFjernarbeid$100K – $160K/yr-16 d.
Rekrutteringsmønster
Hvor raskt Runpod legger ut nye stillinger, og hvilken arbeidsform de har.
Nye stillinger per månedStillinger etter måned for første publisering
Kunder
Alle 15 selskaper som Runpod oppgir som kunder.
Kunder som rekrutterer nå1
- Coframe38 ledige stillinger

Kundecaser14
- OOpen Source Films
- BBottoDAO
- FFaceless.video
- NNodalview
- RRendair
- KKRNL
- IInstaHeadshots
- TTOOL
- SScatter Lab
- SSegmind
- GGendo
- GGlam Labs
- CCivitai
- AAneta
Hva kundene deres sier
Sitater fra folk hos Runpods kunder.
““Runpod’s not just our infra provider. They’re a partner in what we’re building,” Giacomo said. “They’ve given us the flexibility to grow fast without sacrificing performance or burning cash.””
““The best part? We could stop worrying about infrastructure and go back to building. That’s the real win.””
““That’s when it clicked. We could get the performance we needed without breaking the bank. And because it was serverless, we only paid for what we actually used.””
“We're excited to try Runpod's Clusters because it gives us instant access to high-performing GPU clusters with no long-term commitments.”
“Runpod has allowed us to focus entirely on growth and product development without us having to worry about the GPU infrastructure at all.”
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“Surprisingly, the process of migrating to Runpod was extremely easy and seamless.”
“Having partners like Runpod where we can dream those big ideas and know it's going to happen in the way we're presenting it and selling it to our clients is massive for us.,”
“All of these projects, the renders for AMD, the Coca-Cola builds, that has to do with scalability. If we can't scale, we can't deliver. Runpod makes that possible.”
“I'm in a different time zone. I can literally sleep now instead of getting a call at 3AM. It's on Runpod. It doesn't break. It's fine.”
“When you don't need it, you don't run it, and you don't pay for it. That's all gone now.”
“We use a lot of AWS and GCP, but not for GPU or anything related to GPUs. Whenever we touch a GPU, we're not going there. When it comes to GPU, we're using Runpod,”
“We had physical machines traveling for experiences. They break. They need to be repaired. You get a call at 3AM: the computer broke, what are we doing?”
““Without Runpod, sustaining our business would have been extremely difficult. We truly appreciate it.””
““Runpod gave us a way forward when everything else felt stuck,” one team member reflected. “It’s not just a vendor, it’s part of how we operate.””
““By leveraging Runpod's APIs, we were able to dynamically scale the number of GPU cloud servers according to the live service load,” the team explained. “It allowed us to serve our large-scale infrastructure at nearly half the cost compared to major cloud providers.””
“By leveraging Runpod, we eliminated the infrastructure bottlenecks that slowed us down, and unlocked a cost-effective, high-performance foundation to scale our GenAI platform.”
“We comfortably scaled our workloads 10x without worrying about GPU shortages or excessive costs. That flexibility gave us the headroom to serve enterprise customers with confidence.”
“Runpod’s scalable GPU infrastructure gave us the flexibility we needed to match customer traffic and model complexity, without overpaying for idle resources.”
“Runpod is a great platform for founders like me who want to ship AI models to customers quickly and reliably.”
“Runpod has allowed the team to focus more on the features that are core to our product and that are within our skill set, rather than spending time focusing on infrastructure, which can sometimes be a bit of a distraction.”
“Since switching to Runpod, scalability has been solved in a way that we couldn't do before. We had a very fixed infrastructure, and quickly starting up new containers and new ML services was slow. With Runpod, that process is much faster.”
“The great thing about Runpod is that the pricing becomes a bit more predictable, and we have better unit economics as a business. Whereas if we rolled our own infrastructure, the costs are much more unpredictable, and we end up spending more inefficiently.”
“Moving to Runpod was really smooth. We were using containerized images before, and because Runpod allows us to point to those same images, we were able to move across really easily.”
“We discovered Runpod over a year ago, and to start with, we were just using the pods feature for more ad hoc GPU tasks. Then I noticed that Runpod really was serverless, and that was a big thing for us because it solved a lot of the scalability issues that we were having within our own infrastructure.”
“One issue that we faced was that developers were spending too much time on infrastructure and DevOps. Instead of spending time on product features, we were spending time building this GPU backend.”
“Before using Runpod, we struggled with our AWS infrastructure. Setup wasn't particularly scalable, and we struggled to go from zero instances up to many. We didn't always have the resources on demand in the way that we wanted.”
““Your endpoints can scale down to zero and scale up without a long delay time.””
““After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds,” the team said.”
““We migrated quickly to Runpod, and all those problems were solved.””
“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”
KI-lanseringer og partnere
Hva Runpod har lansert, og hvem selskapet samarbeider med om KI.
- LanseringRunpod AI infrastructureRunpod provides AI infrastructure with on-demand GPUs and serverless compute for training, inference, and batch workloads.
- LanseringRunpod ServerlessRunpod Serverless runs AI inference and lets teams deploy containerized models as autoscaling GPU endpoints.
- LanseringRunpod ClustersRunpod offers multi-node GPU environments for distributed training, large batch workloads, and compute jobs, with self-service provisioning for AI workloads.
- LanseringRunpod AI infrastructureRunpod offers AI infrastructure with on-demand GPUs and serverless compute for training, inference, and batch workloads.
Etterspurte ferdigheter
Hyppigst i ledige annonser.
Mest etterspurte ferdigheter
- Python
- Go
- Docker
- Linux systems
- CRM
- Communication
- AI tools
- Data analysis
- Technical writing
- Distributed systems
- Networking
- Distributed storage
Teknologistakk
- Analyse
- Google Analytics 4
- Google Tag Manager
- CDN
- jsDelivr
- Amazon CloudFront
- Biblioteker
- jQuery
- GSAP
- Markedsføring
- HubSpot
Selskapsfakta
- Hovedkontor
- San Francisco, US
- Grunnlagt
- 2022
- Bransje
- AI Developer Cloud
- Sektor (NAICS)
- Informasjon
- Nettsted
- runpod.com
- Karriere
- jobs.ashbyhq.com/runpod
Stillinger etter sted
Hvor Runpod rekrutterer. Velg en by for å se stillingene der.
Spørsmål om Runpod
- Ansetter Runpod?
- Ja. Per 9. oktober 2026 har Runpod 30 ledige stillinger på Metaintro. 9 ble publisert de siste 30 dagene. Flest er innen Developer (4), Sales (4) og Customer Support (3).
- Hvor rekrutterer Runpod?
- Runpod rekrutterer i United States, Apac, Uganda, Emea, Surprise, Usa og Uşak, Turkey, med flest ledige stillinger i United States.
- Hvem er kundene til Runpod?
- Runpod oppgir 15 kunder, blant annet Coframe, Open Source Films, BottoDAO, Faceless.video og Nodalview.
- Hvilke ferdigheter ser Runpod etter?
- De ledige stillingene etterspør oftest Python, Go, Docker, Linux systems og CRM.