Senior Software Engineer (Cloud)

Overview Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI. As our cloud platform grows, we are seeking a full-time, remote Software Engineer to join our team. This technical position will be crucial to growing our cloud platform as we integrate new data centers, optimize existing functionality, and deliver new features to customers. This role offers the opportunity to innovate on cloud infrastructure for massive-scale parallel computing, supporting the technical innovations of the future. You will work on the services that manage VMs across thousands of machines in worldwide data centers. If you are passionate about cloud infrastructure, distributed systems, and enabling the future of high-performance AI computation, we want to hear from you. Join our team and help shape the future of computing! Responsibilities 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 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. What You’ll Receive The competitive base pay for this position ranges from ($150,000 - $200,000). Factors that may be used to determine your actual pay may include your specific job related knowledge, skills and experience 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 — we cover 100% for all employees and partial for dependents. 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 Equal Employment Opportunity Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr