Runpod
AI Developer Cloud
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Đang tuyển dụng
Runpod có đang tuyển dụng không?
Có. Tính đến 10 tháng 10, 2026, Runpod có 30 vị trí đang mở trên Metaintro. 9 vị trí được đăng trong 30 ngày qua.
Vị trí đang tuyển
Mới nhất trước. Hiển thị mức lương khi tin tuyển dụng có ghi.
- Director, SecurityBảo MậtTừ xa · $125K – $220K/yr—Từ xa$125K – $220K/yrHôm kia
- Affiliate & Creator Marketing LeadMarketingTừ xa · $115K – $180K/yr—Từ xa$115K – $180K/yr4 ngày trước
- Senior Video ProducerSản Xuất Truyền ThôngTừ xa · $130K – $185K/yr—Từ xa$130K – $185K/yr5 ngày trước
- Cloud Infrastructure Security Engineer (Systems/Kernel)Bảo MậtTừ xa · $152K – $175K/yr—Từ xa$152K – $175K/yr5 ngày trước
- Senior ML Systems Engineer, InferenceLập Trình ViênTừ xa · $150K – $220K/yr—Từ xa$150K – $220K/yr9 ngày trước
- Account Manager (Strategic)Bán HàngTừ xa · $160K – $280K/yr—Từ xa$160K – $280K/yr16 ngày trước
- HPC Storage Engineer - West CoastDevOpsTừ xa · $150K – $220K/yr—Từ xa$150K – $220K/yr16 ngày trước
- Forward Deployed Engineer APACCông Nghệ Tổng HợpApac · Từ xa · $100K – $160K/yrApacTừ xa$100K – $160K/yr17 ngày trước
Xu hướng tuyển dụng
Tốc độ Runpod bổ sung vị trí và hình thức làm việc của các vị trí đó.
Vị trí mới mỗi thángVị trí được đăng lần đầu trong tháng
Khách hàng
Tất cả 15 công ty mà Runpod nêu tên là khách hàng.
Khách hàng đang tuyển dụng1
- Coframe38 vị trí đang tuyển

Nghiên cứu điển hình14
- OOpen Source Films
- BBottoDAO
- FFaceless.video
- NNodalview
- RRendair
- KKRNL
- IInstaHeadshots
- TTOOL
- SScatter Lab
- SSegmind
- GGendo
- GGlam Labs
- CCivitai
- AAneta
Khách hàng nói gì
Trích dẫn từ những người làm việc tại các khách hàng của Runpod.
““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.”
Hiện thêm 25 trích dẫnThu gọn
“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.”
Ra mắt và đối tác AI
Những gì Runpod đã ra mắt và các đối tác của công ty về AI.
- Ra mắtRunpod AI infrastructureRunpod provides AI infrastructure with on-demand GPUs and serverless compute for training, inference, and batch workloads.
- Ra mắtRunpod ServerlessRunpod Serverless runs AI inference and lets teams deploy containerized models as autoscaling GPU endpoints.
- Ra mắtRunpod ClustersRunpod offers multi-node GPU environments for distributed training, large batch workloads, and compute jobs, with self-service provisioning for AI workloads.
- Ra mắtRunpod AI infrastructureRunpod offers AI infrastructure with on-demand GPUs and serverless compute for training, inference, and batch workloads.
Kỹ năng được yêu cầu
Xuất hiện nhiều nhất trong các tin đang tuyển.
Kỹ năng được yêu cầu nhiều nhất
- Python
- Go
- Docker
- Linux systems
- CRM
- Communication
- AI tools
- Data analysis
- Technical writing
- Distributed systems
- Networking
- Distributed storage
Công nghệ sử dụng
- Phân tích
- Google Analytics 4
- Google Tag Manager
- CDN
- jsDelivr
- Amazon CloudFront
- Thư viện
- jQuery
- GSAP
- Tiếp thị
- HubSpot
Thông tin công ty
- Trụ sở chính
- San Francisco, US
- Thành lập
- 2022
- Ngành
- AI Developer Cloud
- Ngành (NAICS)
- Thông tin và truyền thông
- Trang web
- runpod.com
- Tuyển dụng
- jobs.ashbyhq.com/runpod
Vị trí theo địa điểm
Nơi Runpod đang tuyển dụng. Chọn một thành phố để xem các vị trí.
Câu hỏi về Runpod
- Runpod có đang tuyển dụng không?
- Có. Tính đến 10 tháng 10, 2026, Runpod có 30 vị trí đang mở trên Metaintro. 9 vị trí được đăng trong 30 ngày qua. Nhiều nhất là ở Developer (4), Sales (4) và Customer Support (3).
- Runpod đang tuyển dụng ở đâu?
- Runpod đang tuyển dụng tại United States, Apac, Uganda, Emea, Surprise, Usa và Uşak, Turkey, nhiều vị trí nhất ở United States.
- Khách hàng của Runpod là ai?
- Runpod nêu tên 15 khách hàng, trong đó có Coframe, Open Source Films, BottoDAO, Faceless.video và Nodalview.
- Runpod tìm kiếm những kỹ năng nào?
- Các vị trí đang tuyển của công ty thường yêu cầu Python, Go, Docker, Linux systems và CRM nhất.