Senior Software Engineer, Cloud

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Runpod

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $20M Seed on 2024-06

Artificial Intelligence • SaaS • B2B

Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.

📋 Description

• Design, develop, and maintain cloud infrastructure software, primarily in Go. • Collaborate with managers and other engineers to define and implement product requirements. • Troubleshoot and optimize existing code to improve performance and reliability. • Participate in code reviews and contribute to the team's technical standards. • Contribute to architectural discussions and decisions. • Stay up-to-date with industry trends and emerging technologies.

🎯 Requirements

• Bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent experience. • 3+ years of professional experience in software development, with experience in Go. • Strong understanding of the Go programming language and its ecosystem. • Strong problem-solving skills and ability to work in a collaborative environment. • Excellent communication skills and attention to detail. • Successful completion of a background check • **Preferred:** • Experience with one or more of: C, Rust, Python, Javascript, Typescript. • Experience developing and/or deploying machine learning applications. • Experience with Python machine learning libraries or models. • Experience developing and maintaining large scale distributed systems. • Experience with containerization: Linux containers (LXC), Docker containers, virtual machines (VMs), and/or hypervisor technology. • Experience debugging Linux application and kernel/driver issues.

🏖️ Benefits

• Meaningful equity in a fast-growing AI infra company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. • Generous medical, dental & vision plans • Flexible PTO- take the time you need to recharge • Most roles have are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace