Ugrás a fő tartalomra

Runpod

AI Developer Cloud

The requested Runpod page could not be found. Return to Runpod to explore GPU cloud, serverless inference, and AI infrastructure resources.

Most toboroz

30nyitott pozíció+15%az előző héthez képest

Toboroz a(z) Runpod?

Igen. 2026. október 9. állapot szerint a(z) Runpod cégnek 30 nyitott pozíciója van a Metaintrón. Az elmúlt 30 napban 9 pozíciót hirdettek meg.

Nyitott pozíciók

A legújabbak elöl. A fizetést akkor mutatjuk, ha a hirdetés tartalmazza.

Toborzási trendek

Milyen gyorsan nyit új pozíciókat a(z) Runpod, és milyen munkavégzési formában.

Új pozíciók havontaAz adott hónapban először meghirdetett pozíciók

25
8
6
5
júliusaugusztusszeptemberoktóber
október: 5 új pozíció.

Ügyfelek

Mind a 15 cég, amelyet a(z) Runpod ügyfélként nevez meg.

Most toborzó ügyfelek1

Esettanulmányok14

  • Open Source Films
  • BottoDAO
  • Faceless.video
  • Nodalview
  • Rendair
  • KRNL
  • InstaHeadshots
  • TOOL
  • Scatter Lab
  • Segmind
  • Gendo
  • Glam Labs
  • Civitai
  • Aneta

Mit mondanak az ügyfeleik

Idézetek a(z) Runpod ügyfeleinél dolgozóktól.

““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.””

Giacomo Locci · Founder and CPO · KRNL

““The best part? We could stop worrying about infrastructure and go back to building. That’s the real win.””

Giacomo Locci · Founder and CPO · KRNL

““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.””

Giacomo Locci · Founder and CPO · KRNL

“We're excited to try Runpod's Clusters because it gives us instant access to high-performing GPU clusters with no long-term commitments.”

Bharat · Co-founder · InstaHeadshots

“Runpod has allowed us to focus entirely on growth and product development without us having to worry about the GPU infrastructure at all.”

Bharat · Co-founder · InstaHeadshots
További 25 idézet mutatása

“Surprisingly, the process of migrating to Runpod was extremely easy and seamless.”

Bharat · Co-founder · InstaHeadshots

“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.,”

TOOL

“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.”

TOOL

“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.”

TOOL

“When you don't need it, you don't run it, and you don't pay for it. That's all gone now.”

TOOL

“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,”

Wim Vanhenden · TOOL

“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?”

TOOL

““Without Runpod, sustaining our business would have been extremely difficult. We truly appreciate it.””

Scatter Lab

““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.””

Scatter Lab

““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.””

Scatter Lab

“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.”

Segmind

“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.”

Segmind

“Runpod’s scalable GPU infrastructure gave us the flexibility we needed to match customer traffic and model complexity, without overpaying for idle resources.”

Segmind

“Runpod is a great platform for founders like me who want to ship AI models to customers quickly and reliably.”

Gendo

“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.”

Gendo

“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.”

Gendo

“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.”

Gendo

“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.”

Gendo

“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.”

Gendo

“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.”

Gendo

“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.”

Gendo

““Your endpoints can scale down to zero and scale up without a long delay time.””

Glam Labs

““After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds,” the team said.”

Glam Labs

““We migrated quickly to Runpod, and all those problems were solved.””

Glam Labs

“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”

Josh Payne · Coframe CEO · Coframe

MI-bevezetések és partnerek

Mit vezetett be a(z) Runpod, és kikkel dolgozik együtt az MI terén.

  • BevezetésRunpod AI infrastructureRunpod provides AI infrastructure with on-demand GPUs and serverless compute for training, inference, and batch workloads.
  • BevezetésRunpod ServerlessRunpod Serverless runs AI inference and lets teams deploy containerized models as autoscaling GPU endpoints.
  • BevezetésRunpod ClustersRunpod offers multi-node GPU environments for distributed training, large batch workloads, and compute jobs, with self-service provisioning for AI workloads.
  • BevezetésRunpod AI infrastructureRunpod offers AI infrastructure with on-demand GPUs and serverless compute for training, inference, and batch workloads.

Keresett készségek

A leggyakoribbak a nyitott hirdetésekben.

Legkeresettebb készségek

  • Python
  • Go
  • Docker
  • Linux systems
  • CRM
  • Communication
  • AI tools
  • Data analysis
  • Technical writing
  • Distributed systems
  • Networking
  • Distributed storage

Technológiai stack

Analitika
Google Analytics 4
Google Tag Manager
CDN
jsDelivr
Amazon CloudFront
Könyvtárak
jQuery
GSAP
Marketing
HubSpot

Cégadatok

Székhely
San Francisco, US
Alapítva
2022
Iparág
AI Developer Cloud
Ágazat (NAICS)
Információ és kommunikáció
Weboldal
runpod.com
Közösségi média
LinkedIn · GitHub · X · YouTube

Pozíciók helyszín szerint

Hol toboroz a(z) Runpod. Válassz egy várost a pozíciói megtekintéséhez.

Kérdések a(z) Runpod cégről

Toboroz a(z) Runpod?
Igen. 2026. október 9. állapot szerint a(z) Runpod cégnek 30 nyitott pozíciója van a Metaintrón. Az elmúlt 30 napban 9 pozíciót hirdettek meg. A legtöbb ezekben a csapatokban van: Developer (4), Sales (4) és Customer Support (3).
Hol toboroz a(z) Runpod?
A(z) Runpod a következő városokban toboroz: United States, Apac, Uganda, Emea, Surprise, Usa és Uşak, Turkey. A legtöbb nyitott pozíció helyszíne: United States.
Kik a(z) Runpod ügyfelei?
A(z) Runpod 15 ügyfelet nevez meg, köztük: Coframe, Open Source Films, BottoDAO, Faceless.video és Nodalview.
Milyen készségeket keres a(z) Runpod?
Nyitott pozícióiban leggyakrabban ezeket kérik: Python, Go, Docker, Linux systems és CRM.
Vissza a navigációhoz