Runpod jobs, judged for you, free

What they do

Runpod calls itself the AI Developer Cloud. Developers use it to train, fine-tune, and deploy AI on graphics processing units (GPUs). Pods are on-demand GPUs in 31 regions. Serverless gives GPU endpoints, and Clusters join many GPU machines. Founded in 2022, Runpod has over one million developers. Summit Partners led its $100M Series A in June 2026.

What they value

• Stay close to users.
• Wear more than one hat.
• Say the hard thing.
• Care about customers and each other.
• Reflect on your own actions, and choose courage over comfort.
• Keep some weird.

Where they hire

All 28 Postings are remote. Twenty-three are in the US, three in EMEA, and two in APAC. One US Posting also lists San Francisco. EMEA Postings name Ireland, the UK, Spain, or Poland. APAC Postings name Malaysia, Singapore, South Korea, or Japan. No Posting is in India. Twenty-seven say Runpod cannot sponsor work visas.

Teams and roles

Engineering has 16 of the 28 Postings.

• Technical support: three engineers, two in the US and one in EMEA.
• Forward deployed engineers: two, in EMEA and APAC, who help new customers start on the platform.
• Product engineering: a full-stack engineer, a senior cloud engineer who writes Go, an engineer in test for the new testing team, a technical program manager, and an engineering manager.
• Infrastructure and security: a site reliability engineer, a cloud security engineer, and directors of infrastructure and of security.
• A machine learning (ML) systems engineer for inference, and a developer relations engineer.
• Sales: four Postings, in the US, EMEA, and APAC.
• Finance has three Postings, product and marketing two each, and data one.

US dollar base pay ranges in the Postings run from $42K to $330K. Everyone on the team gets stock options.

What they look for

Most engineering Postings ask for Python, and many also ask for Go. Ten engineering Postings ask for Linux, and many ask for Docker or other containers. Many ask for experience with GPUs or AI and ML work. Engineering roles ask for 2 to 8 or more years of experience. Eight engineering Postings ask for a bachelor's degree, and some accept equal experience. Most Postings ask for strong communication skills. Twenty-one Postings require a background check. Support roles can include weekend work.