Security Engineer

March 28

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RunPod

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RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.

Machine Learning • Artificial Intelligence • Deep Learning

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🔥 Funding within the last year

💰 Seed Round on 2024-05

📋 Description

• RunPod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. • We are seeking a full-time, remote Security Engineer to join our team. • This position will be instrumental in safeguarding our GPU cloud platform, ensuring the security and isolation of our customers' workloads. • The ideal candidate will possess experience with offensive and defensive security, coupled with strong software development abilities and deep knowledge of Linux systems and containerization. • As a Security Engineer at RunPod, you'll play a crucial role in implementing cutting-edge security practices for cloud environments. • This role offers the opportunity to tackle complex security challenges in multitenant GPU cloud environments, contribute to the development of secure, scalable systems, and drive RunPod's security posture forward.

🎯 Requirements

• Bachelor's degree in Computer Science, Cybersecurity, or a related field • 5+ years of experience in information security roles, with a focus on cloud security • Strong programming skills in at least one language (ideally, Python, Go, or C) • Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization • Deep understanding of workload/network isolation techniques in multitenant cloud environments • Experience securing and hardening cloud infrastructure, particularly in environments with untrusted workloads • Familiarity with GPU architecture and security considerations in GPU cloud computing • Strong background in network security, application security, and cloud-native security practices • Experience with security testing tools and methodologies (e.g., OWASP, Burp Suite, static/dynamic analysis tools) • Familiarity with common cybersecurity frameworks (e.g., NIST, CIS Controls) and their application to cloud environments • Excellent problem-solving skills and ability to think creatively about security challenges in cloud computing • Successful completion of a background check

🏖️ Benefits

• The competitive base pay for this position ranges from $152,000 - $175,000. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills and experience. • Stock options • The flexibility of remote work with an inclusive, collaborative team. • An opportunity to grow with a company that values innovation and user-centric design. • Generous vacation policy to ensure work-life harmony and well-being. • Contribute to a company with a global impact based in the US, Canada, and Europe.