Runpod

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. As RunPod continues to revolutionize the GPU cloud computing landscape, we are seeking a Full Stack Security Engineer to secure our customer-facing products, APIs, and internal services. This critical position will ensure the security of the software that powers our platform, enabling continued growth while protecting user data, billing systems, and web interfaces. The ideal candidate possesses strong software development abilities coupled with deep experience in application security, DevSecOps, and modern web architectures. You will embed directly with our engineering teams to ensure our product is secure by design. RunPod is seeking a proactive AppSec professional who believes in Integrated Security. You won't just toss PDF reports over the fence; you will write code to fix vulnerabilities, build automated security guardrails into our CI/CD pipelines, and foster a security-first culture among our developers. Responsibilities: - Product Security: Lead threat modeling, architecture reviews, and code reviews for our web applications, APIs, and microservices. - Vulnerability Remediation: Actively develop and commit code to fix security flaws in our Python, Go, or JavaScript/TypeScript codebases alongside the engineering team. - DevSecOps: Implement, tune, and manage security testing tools (SAST, DAST, SCA) within our CI/CD pipelines to catch vulnerabilities early in the SDLC. - Edge & Application Defense: Configure and manage application-layer security controls, including Web Application Firewalls (WAF), bot protection, and API gateways. - Security Championing: Provide security guidance, secure coding training, and standard operating procedures to development teams. - Compliance & Operations: Collaborate with operations to ensure product-level adherence to relevant frameworks (e.g., SOC 2, ISO 27001, GDPR) and participate in bug bounty triage. Required Qualifications: - 5+ years of experience in application security, product security, or as a software engineer with a heavy security focus. - Strong programming and code-review skills in languages like Python, Go, JavaScript/TypeScript, or similar modern stacks. - Deep understanding of web application vulnerabilities (OWASP Top 10), API security (REST/GraphQL), and modern authentication flows (OAuth, OIDC, JWT). - Hands-on experience with offensive web security testing tools (e.g., Burp Suite, ZAP). - Experience building and maintaining automated security pipelines (DevSecOps). - Ability to translate complex security risks into actionable engineering tasks. Preferred Qualifications: - Relevant application security certifications (e.g., OSWE, GWAPT, CISSP). - Experience securing cloud-native applications running on Kubernetes/Docker environments. - Background in managing bug bounty programs or coordinated vulnerability disclosures. What You’ll Receive: - The competitive base pay for this position ranges from ($152,000 - $175,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location - Meaningful equity in a fast-growing 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 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 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. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. As RunPod continues to revolutionize the GPU cloud computing landscape, we are seeking a systems-focused Cloud Infrastructure Security Engineer. This critical position is instrumental in safeguarding our bare-metal and virtualized environments, ensuring the absolute security, multi tenant isolation, and integrity of our underlying GPU cloud infrastructure. The ideal candidate possesses deep knowledge of Linux systems, kernel internals, hypervisors, and containerization. You will focus on the lowest levels of our stack—preventing tenant breakouts, securing GPU hardware allocations, and building resilient infrastructure to support AI and machine learning workloads. RunPod is seeking an innovative security engineer who thrives at the systems layer. You will operate with an Attacker's Mindset, actively hunting for ways to break container and virtualization boundaries, and then writing the low-level code to patch them. Responsibilities: - Systems Isolation: Design and implement robust workload and network isolation architectures for RunPod's multitenant GPU bare-metal and virtualized environments. - Kernel & Container Security: Harden Linux kernel configurations, container runtimes (e.g., Docker, containerd), and orchestration layers (e.g., Kubernetes) against breakouts and privilege escalation. - Infrastructure Threat Modeling: Conduct deep-dive security assessments and penetration testing specifically targeting our hypervisor, network stack, and hardware interfaces. - Active Defense: Write code (primarily C, Go, or Rust) to implement custom security controls, telemetry, and fixes at the OS and infrastructure level. - Hardware Security: Evaluate and mitigate security considerations specific to GPU architecture, PCIe pass-through, and shared memory spaces. - Incident Response: Serve as the technical escalation point for infrastructure-level security incidents, developing forensic capabilities for ephemeral container environments. Required Qualifications: - 5+ years of experience in infrastructure or systems-level security engineering. - Extensive knowledge of Linux kernel internals (cgroups, namespaces, eBPF, SELinux/AppArmor). - Deep understanding of virtualization technologies (KVM, QEMU) and workload/network isolation techniques in multitenant environments. - Strong systems-level programming skills in C, Go, Rust, or Python. - Familiarity with GPU architecture and hardware-level security considerations. - Experience in securing bare-metal cloud infrastructure and mitigating lower-level CVEs. Preferred Qualifications: - Contributions to open-source systems security projects or virtualization research. - Experience writing or deploying eBPF-based security tooling. - Deep knowledge of low-level networking protocols and virtualized network security. What You’ll Receive: - The competitive base pay for this position ranges from ($152,000 - $175,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location - Meaningful equity in a fast-growing 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 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 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. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

Role Description As RunPod continues to revolutionize the GPU cloud computing landscape, we are seeking a Full Stack Security Engineer to secure our customer-facing products, APIs, and internal services. This critical position will ensure the security of the software that powers our platform, enabling continued growth while protecting user data, billing systems, and web interfaces. The ideal candidate possesses strong software development abilities coupled with deep experience in application security, DevSecOps, and modern web architectures. You will embed directly with our engineering teams to ensure our product is secure by design. RunPod is seeking a proactive AppSec professional who believes in Integrated Security. You won't just toss PDF reports over the fence; you will write code to fix vulnerabilities, build automated security guardrails into our CI/CD pipelines, and foster a security-first culture among our developers. Responsibilities - Product Security: Lead threat modeling, architecture reviews, and code reviews for our web applications, APIs, and microservices. - Vulnerability Remediation: Actively develop and commit code to fix security flaws in our Python, Go, or JavaScript/TypeScript codebases alongside the engineering team. - DevSecOps: Implement, tune, and manage security testing tools (SAST, DAST, SCA) within our CI/CD pipelines to catch vulnerabilities early in the SDLC. - Edge & Application Defense: Configure and manage application-layer security controls, including Web Application Firewalls (WAF), bot protection, and API gateways. - Security Championing: Provide security guidance, secure coding training, and standard operating procedures to development teams. - Compliance & Operations: Collaborate with operations to ensure product-level adherence to relevant frameworks (e.g., SOC 2, ISO 27001, GDPR) and participate in bug bounty triage. Qualifications - 5+ years of experience in application security, product security, or as a software engineer with a heavy security focus. - Strong programming and code-review skills in languages like Python, Go, JavaScript/TypeScript, or similar modern stacks. - Deep understanding of web application vulnerabilities (OWASP Top 10), API security (REST/GraphQL), and modern authentication flows (OAuth, OIDC, JWT). - Hands-on experience with offensive web security testing tools (e.g., Burp Suite, ZAP). - Experience building and maintaining automated security pipelines (DevSecOps). - Ability to translate complex security risks into actionable engineering tasks. Preferred Qualifications - Relevant application security certifications (e.g., OSWE, GWAPT, CISSP). - Experience securing cloud-native applications running on Kubernetes/Docker environments. - Background in managing bug bounty programs or coordinated vulnerability disclosures. Benefits - The competitive base pay for this position ranges from ($152,000 - $175,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing 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 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.

Role Description As RunPod continues to revolutionize the GPU cloud computing landscape, we are seeking a systems-focused Cloud Infrastructure Security Engineer. This critical position is instrumental in safeguarding our bare-metal and virtualized environments, ensuring the absolute security, multi-tenant isolation, and integrity of our underlying GPU cloud infrastructure. The ideal candidate possesses deep knowledge of Linux systems, kernel internals, hypervisors, and containerization. You will focus on the lowest levels of our stack—preventing tenant breakouts, securing GPU hardware allocations, and building resilient infrastructure to support AI and machine learning workloads. RunPod is seeking an innovative security engineer who thrives at the systems layer. You will operate with an Attacker's Mindset, actively hunting for ways to break container and virtualization boundaries, and then writing the low-level code to patch them. Responsibilities - Design and implement robust workload and network isolation architectures for RunPod's multitenant GPU bare-metal and virtualized environments. - Harden Linux kernel configurations, container runtimes (e.g., Docker, containerd), and orchestration layers (e.g., Kubernetes) against breakouts and privilege escalation. - Conduct deep-dive security assessments and penetration testing specifically targeting our hypervisor, network stack, and hardware interfaces. - Write code (primarily C, Go, or Rust) to implement custom security controls, telemetry, and fixes at the OS and infrastructure level. - Evaluate and mitigate security considerations specific to GPU architecture, PCIe pass-through, and shared memory spaces. - Serve as the technical escalation point for infrastructure-level security incidents, developing forensic capabilities for ephemeral container environments. Qualifications - 5+ years of experience in infrastructure or systems-level security engineering. - Extensive knowledge of Linux kernel internals (cgroups, namespaces, eBPF, SELinux/AppArmor). - Deep understanding of virtualization technologies (KVM, QEMU) and workload/network isolation techniques in multitenant environments. - Strong systems-level programming skills in C, Go, Rust, or Python. - Familiarity with GPU architecture and hardware-level security considerations. - Experience in securing bare-metal cloud infrastructure and mitigating lower-level CVEs. Preferred Qualifications - Contributions to open-source systems security projects or virtualization research. - Experience writing or deploying eBPF-based security tooling. - Deep knowledge of low-level networking protocols and virtualized network security. Benefits - The competitive base pay for this position ranges from ($152,000 - $175,000). - Meaningful equity in a fast-growing company — everyone on the team receives stock options. - Generous medical, dental & vision plans. - Flexible PTO - take the time you need to recharge. - Most roles are remote work first with an inclusive, collaborative teams utilizing Slack as the main form of internal communication. - $1,200 Home Office & Equipment Stipend - we set you up for success from day one with gear and support to create your ideal workspace.

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions. This team is responsible for: - Defining and enforcing reliability standards across engineering - Designing incident response processes and improving recovery times - Building observability systems and reliability tooling - Driving SLO adoption and production readiness reviews - Reducing operational toil through automation The Reliability team works cross-functionally with Infrastructure, Product Engineering, and Support to ensure our systems remain stable and performant as we scale rapidly. We value proactive problem solving, automation-first thinking, and strong ownership of production systems. As a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen. This role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure. This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod. Your Impact - Increase platform uptime and reduce incident frequency and duration - Establish and operationalize SLIs/SLOs across services - Improve MTTR through better tooling, automation, and runbooks - Strengthen production readiness standards - Drive long-term systemic reliability improvements You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company. Responsibilities: Reliability Engineering - Define and implement SLIs/SLOs for critical services - Lead incident response and coordinate cross-team mitigation efforts - Conduct blameless postmortems and ensure corrective actions are completed - Perform production readiness reviews for new services and features - Identify systemic risks and drive preventative improvements Observability & Monitoring - Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.) - Improve signal-to-noise ratio in alerts and reduce alert fatigue - Build internal tooling for reliability tracking and reporting - Improve visibility into GPU performance and distributed systems health Automation & Toil Reduction - Automate recurring operational workflows - Build tools and scripts (Python, Go, Bash) to eliminate manual processes - Improve deployment safety through automation and guardrails - Strengthen CI/CD reliability and release processes Cross-Functional Reliability Advocacy - Partner with engineering teams to improve system resilience - Provide guidance on fault tolerance, scalability, and failure handling - Contribute to architectural discussions with a reliability-first mindset Requirements: - 5+ years of experience in SRE, Reliability Engineering, or Production Engineering - Strong Linux systems and Networking expertise - Experience managing containerized production systems - Strong understanding of distributed systems and failure modes - Experience defining and managing SLIs/SLOs - Proven incident response and postmortem leadership experience - Strong scripting or programming skills - Experience with monitoring and alerting systems - Excellent written communication skills - Successful completion of a background check Preferred: - Experience with GPU infrastructure or AI/ML platforms - Experience improving reliability in high-growth or large scale environments - Familiarity with GPU observability tooling - Experience with Infrastructure as Code - Experience working in startup environments - Experience building internal reliability platforms or frameworks What You’ll Receive: - The competitive base pay for this position ranges from $150,000- $200,000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location - Meaningful equity in a fast-growing 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 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. 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. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

Role Description The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions. This team is responsible for: - Defining and enforcing reliability standards across engineering - Designing incident response processes and improving recovery times - Building observability systems and reliability tooling - Driving SLO adoption and production readiness reviews - Reducing operational toil through automation As a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen. This role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure. This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod. Your Impact - Increase platform uptime and reduce incident frequency and duration - Establish and operationalize SLIs/SLOs across services - Improve MTTR through better tooling, automation, and runbooks - Strengthen production readiness standards - Drive long-term systemic reliability improvements You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company. Responsibilities - Reliability Engineering - Define and implement SLIs/SLOs for critical services - Lead incident response and coordinate cross-team mitigation efforts - Conduct blameless postmortems and ensure corrective actions are completed - Perform production readiness reviews for new services and features - Identify systemic risks and drive preventative improvements - Observability & Monitoring - Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.) - Improve signal-to-noise ratio in alerts and reduce alert fatigue - Build internal tooling for reliability tracking and reporting - Improve visibility into GPU performance and distributed systems health - Automation & Toil Reduction - Automate recurring operational workflows - Build tools and scripts (Python, Go, Bash) to eliminate manual processes - Improve deployment safety through automation and guardrails - Strengthen CI/CD reliability and release processes - Cross-Functional Reliability Advocacy - Partner with engineering teams to improve system resilience - Provide guidance on fault tolerance, scalability, and failure handling - Contribute to architectural discussions with a reliability-first mindset Qualifications - 5+ years of experience in SRE, Reliability Engineering, or Production Engineering - Strong Linux systems and Networking expertise - Experience managing containerized production systems - Strong understanding of distributed systems and failure modes - Experience defining and managing SLIs/SLOs - Proven incident response and postmortem leadership experience - Strong scripting or programming skills - Experience with monitoring and alerting systems - Excellent written communication skills - Successful completion of a background check Preferred - Experience with GPU infrastructure or AI/ML platforms - Experience improving reliability in high-growth or large scale environments - Familiarity with GPU observability tooling - Experience with Infrastructure as Code - Experience working in startup environments - Experience building internal reliability platforms or frameworks Benefits - The competitive base pay for this position ranges from $150,000- $200,000 USD. - Meaningful equity in a fast-growing company - everyone on the team receives stock options. - Generous medical, dental & vision plans. - Flexible PTO - take the time you need to recharge. - Most roles 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.

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. We’re looking for a Director of Infrastructure Engineering to lead and scale Runpod’s core cloud and bare-metal environments. This role owns the critical foundational layers of our platform—Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. You’ll build the operating rhythm, culture, and technical direction that ensures Runpod remains highly available, performant, and capable of scaling to meet massive GPU computing demands. You will partner tightly with Product Engineering, Product, and GTM leadership to support enterprise customers. Your focus is ensuring that our underlying infrastructure provides the absolute fastest, most reliable, and lowest-latency path for customers training and running large-scale AI workloads. Responsibilities: - Own Core Infrastructure & SRE: Lead multiple engineering teams responsible for Site Reliability Engineering, networking, and storage. Establish rigorous SRE practices, driving SLA/SLO definitions, incident response, observability, and automated remediation. - Architect HPC & Global Networking: Oversee the design, scaling, and operation of Runpod’s global network backbone, as well as ultra-low-latency HPC cluster networks. Drive the implementation and optimization of InfiniBand and RDMA over Converged Ethernet (RoCE) to support massive, multi-node GPU training workloads. - Drive Storage Engine Innovation: Direct the architecture and performance tuning of highly scalable, distributed storage systems. Ensure our storage engines can deliver the massive IOPS and throughput required to keep high-end GPUs fed with data during deep learning tasks. - Build a High-Output Org: Hire, mentor, and grow highly technical engineering managers and senior ICs (network architects, systems engineers, SREs). Create a culture of ownership, operational excellence, and craft in a remote-first environment. - Translate Scale into Strategy: Partner with Program Management and Product to forecast capacity requirements, shape technical roadmaps, and convert massive scale challenges into clear technical scopes, milestones, and measurable outcomes. - Continuously Improve Systems & Flow: Drive measurable improvements in infrastructure reliability and delivery metrics, such as deployment frequency, MTTR (Mean Time To Recovery), infrastructure as code (IaC) coverage, and system uptime. - Architectural Stewardship: Provide architectural oversight for bare-metal provisioning, virtualization layers, network fabrics, and storage clusters, ensuring seamless scalability without becoming a bottleneck for your teams. - Cross-Functional Partnership: Coordinate cleanly with product delivery and platform teams to ensure the infrastructure primitives they rely on are robust, well-documented, and highly available. Requirements: - Engineering Leadership Experience: 7+ years leading software, infrastructure, SRE, or networking teams, including managing managers and multiple squads, with a proven record of scaling high-availability cloud environments. - Deep Infrastructure Expertise: 8+ years building and operating large-scale distributed systems, bare-metal infrastructure, or public/private cloud platforms. - HPC & Advanced Networking: Proven hands-on background or strong architectural understanding of ultra-low latency networking. Deep familiarity with InfiniBand and/or RoCE, spine-leaf architectures, and global WAN routing protocols (BGP). - Storage Systems Knowledge: Experience building, operating, or tuning high-performance distributed storage systems and parallel file systems (e.g., Ceph, Lustre, Weka, NVMe-oF) capable of handling heavy AI/ML I/O loads. - SRE / DevOps Culture: Strong foundation in reliability engineering, infrastructure-as-code (Terraform, Ansible), container orchestration (Kubernetes), and modern observability stacks. - Remote-First Operating Excellence: Experience building culture, accountability, and momentum across distributed technical teams. - Communication & Collaboration: Clear written and verbal communication, strong stakeholder management, and calm, decisive leadership during high-stakes operational incidents. - Background Check: Successful completion of a background check. Preferred Qualifications: - Direct experience architecting and operating infrastructure specifically optimized for massive GPU clusters and AI/ML workloads. - Deep understanding of hardware architectures, GPU interconnects (NVLink), and datacenter topology. - Track record of scaling infrastructure teams in hyper-growth startup environments. - Open-source contributions or active recognition within the infrastructure, networking, or Kubernetes communities. What You’ll Receive: - The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing 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 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. 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. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. We’re looking for a Director of Infrastructure Engineering to lead and scale Runpod’s core cloud and bare-metal environments. This role owns the critical foundational layers of our platform—Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. You’ll build the operating rhythm, culture, and technical direction that ensures Runpod remains highly available, performant, and capable of scaling to meet massive GPU computing demands. You will partner tightly with Product Engineering, Product, and GTM leadership to support enterprise customers. Your focus is ensuring that our underlying infrastructure provides the absolute fastest, most reliable, and lowest-latency path for customers training and running large-scale AI workloads. Responsibilities: - Own Core Infrastructure & SRE: Lead multiple engineering teams responsible for Site Reliability Engineering, networking, and storage. Establish rigorous SRE practices, driving SLA/SLO definitions, incident response, observability, and automated remediation. - Architect HPC & Global Networking: Oversee the design, scaling, and operation of Runpod’s global network backbone, as well as ultra-low-latency HPC cluster networks. Drive the implementation and optimization of InfiniBand and RDMA over Converged Ethernet (RoCE) to support massive, multi-node GPU training workloads. - Drive Storage Engine Innovation: Direct the architecture and performance tuning of highly scalable, distributed storage systems. Ensure our storage engines can deliver the massive IOPS and throughput required to keep high-end GPUs fed with data during deep learning tasks. - Build a High-Output Org: Hire, mentor, and grow highly technical engineering managers and senior ICs (network architects, systems engineers, SREs). Create a culture of ownership, operational excellence, and craft in a remote-first environment. - Translate Scale into Strategy: Partner with Program Management and Product to forecast capacity requirements, shape technical roadmaps, and convert massive scale challenges into clear technical scopes, milestones, and measurable outcomes. - Continuously Improve Systems & Flow: Drive measurable improvements in infrastructure reliability and delivery metrics, such as deployment frequency, MTTR (Mean Time To Recovery), infrastructure as code (IaC) coverage, and system uptime. - Architectural Stewardship: Provide architectural oversight for bare-metal provisioning, virtualization layers, network fabrics, and storage clusters, ensuring seamless scalability without becoming a bottleneck for your teams. - Cross-Functional Partnership: Coordinate cleanly with product delivery and platform teams to ensure the infrastructure primitives they rely on are robust, well-documented, and highly available. Requirements: - Engineering Leadership Experience: 7+ years leading software, infrastructure, SRE, or networking teams, including managing managers and multiple squads, with a proven record of scaling high-availability cloud environments. - Deep Infrastructure Expertise: 8+ years building and operating large-scale distributed systems, bare-metal infrastructure, or public/private cloud platforms. - HPC & Advanced Networking: Proven hands-on background or strong architectural understanding of ultra-low latency networking. Deep familiarity with InfiniBand and/or RoCE, spine-leaf architectures, and global WAN routing protocols (BGP). - Storage Systems Knowledge: Experience building, operating, or tuning high-performance distributed storage systems and parallel file systems (e.g., Ceph, Lustre, Weka, NVMe-oF) capable of handling heavy AI/ML I/O loads. - SRE / DevOps Culture: Strong foundation in reliability engineering, infrastructure-as-code (Terraform, Ansible), container orchestration (Kubernetes), and modern observability stacks. - Remote-First Operating Excellence: Experience building culture, accountability, and momentum across distributed technical teams. - Communication & Collaboration: Clear written and verbal communication, strong stakeholder management, and calm, decisive leadership during high-stakes operational incidents. - Background Check: Successful completion of a background check. Preferred Qualifications: - Direct experience architecting and operating infrastructure specifically optimized for massive GPU clusters and AI/ML workloads. - Deep understanding of hardware architectures, GPU interconnects (NVLink), and datacenter topology. - Track record of scaling infrastructure teams in hyper-growth startup environments. - Open-source contributions or active recognition within the infrastructure, networking, or Kubernetes communities. What You’ll Receive: - The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing 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 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. 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. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

Role Description We’re looking for a Director of Infrastructure Engineering to lead and scale Runpod’s core cloud and bare-metal environments. This role owns the critical foundational layers of our platform—Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. You’ll build the operating rhythm, culture, and technical direction that ensures Runpod remains highly available, performant, and capable of scaling to meet massive GPU computing demands. You will partner tightly with Product Engineering, Product, and GTM leadership to support enterprise customers. Your focus is ensuring that our underlying infrastructure provides the absolute fastest, most reliable, and lowest-latency path for customers training and running large-scale AI workloads. - Own Core Infrastructure & SRE: Lead multiple engineering teams responsible for Site Reliability Engineering, networking, and storage. Establish rigorous SRE practices, driving SLA/SLO definitions, incident response, observability, and automated remediation. - Architect HPC & Global Networking: Oversee the design, scaling, and operation of Runpod’s global network backbone, as well as ultra-low-latency HPC cluster networks. Drive the implementation and optimization of InfiniBand and RDMA over Converged Ethernet (RoCE) to support massive, multi-node GPU training workloads. - Drive Storage Engine Innovation: Direct the architecture and performance tuning of highly scalable, distributed storage systems. Ensure our storage engines can deliver the massive IOPS and throughput required to keep high-end GPUs fed with data during deep learning tasks. - Build a High-Output Org: Hire, mentor, and grow highly technical engineering managers and senior ICs (network architects, systems engineers, SREs). Create a culture of ownership, operational excellence, and craft in a remote-first environment. - Translate Scale into Strategy: Partner with Program Management and Product to forecast capacity requirements, shape technical roadmaps, and convert massive scale challenges into clear technical scopes, milestones, and measurable outcomes. - Continuously Improve Systems & Flow: Drive measurable improvements in infrastructure reliability and delivery metrics, such as deployment frequency, MTTR (Mean Time To Recovery), infrastructure as code (IaC) coverage, and system uptime. - Architectural Stewardship: Provide architectural oversight for bare-metal provisioning, virtualization layers, network fabrics, and storage clusters, ensuring seamless scalability without becoming a bottleneck for your teams. - Cross-Functional Partnership: Coordinate cleanly with product delivery and platform teams to ensure the infrastructure primitives they rely on are robust, well-documented, and highly available. Qualifications - 7+ years leading software, infrastructure, SRE, or networking teams, including managing managers and multiple squads, with a proven record of scaling high-availability cloud environments. - 8+ years building and operating large-scale distributed systems, bare-metal infrastructure, or public/private cloud platforms. - Proven hands-on background or strong architectural understanding of ultra-low latency networking. Deep familiarity with InfiniBand and/or RoCE, spine-leaf architectures, and global WAN routing protocols (BGP). - Experience building, operating, or tuning high-performance distributed storage systems and parallel file systems (e.g., Ceph, Lustre, Weka, NVMe-oF) capable of handling heavy AI/ML I/O loads. - Strong foundation in reliability engineering, infrastructure-as-code (Terraform, Ansible), container orchestration (Kubernetes), and modern observability stacks. - Experience building culture, accountability, and momentum across distributed technical teams. - Clear written and verbal communication, strong stakeholder management, and calm, decisive leadership during high-stakes operational incidents. - Successful completion of a background check. Preferred Qualifications - Direct experience architecting and operating infrastructure specifically optimized for massive GPU clusters and AI/ML workloads. - Deep understanding of hardware architectures, GPU interconnects (NVLink), and datacenter topology. - Track record of scaling infrastructure teams in hyper-growth startup environments. - Open-source contributions or active recognition within the infrastructure, networking, or Kubernetes communities. Benefits - The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing 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 are remote work first with an inclusive, collaborative teams utilizing Slack as the main form of internal communication. - $1,200 Home Office & Equipment Stipend - We set you up for success from day one with gear and support to create your ideal workspace.

Role Description We’re looking for a Director of Infrastructure Engineering to lead and scale Runpod’s core cloud and bare-metal environments. This role owns the critical foundational layers of our platform—Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. You’ll build the operating rhythm, culture, and technical direction that ensures Runpod remains highly available, performant, and capable of scaling to meet massive GPU computing demands. You will partner tightly with Product Engineering, Product, and GTM leadership to support enterprise customers. Your focus is ensuring that our underlying infrastructure provides the absolute fastest, most reliable, and lowest-latency path for customers training and running large-scale AI workloads. - Own Core Infrastructure & SRE: Lead multiple engineering teams responsible for Site Reliability Engineering, networking, and storage. Establish rigorous SRE practices, driving SLA/SLO definitions, incident response, observability, and automated remediation. - Architect HPC & Global Networking: Oversee the design, scaling, and operation of Runpod’s global network backbone, as well as ultra-low-latency HPC cluster networks. Drive the implementation and optimization of InfiniBand and RDMA over Converged Ethernet (RoCE) to support massive, multi-node GPU training workloads. - Drive Storage Engine Innovation: Direct the architecture and performance tuning of highly scalable, distributed storage systems. Ensure our storage engines can deliver the massive IOPS and throughput required to keep high-end GPUs fed with data during deep learning tasks. - Build a High-Output Org: Hire, mentor, and grow highly technical engineering managers and senior ICs (network architects, systems engineers, SREs). Create a culture of ownership, operational excellence, and craft in a remote-first environment. - Translate Scale into Strategy: Partner with Program Management and Product to forecast capacity requirements, shape technical roadmaps, and convert massive scale challenges into clear technical scopes, milestones, and measurable outcomes. - Continuously Improve Systems & Flow: Drive measurable improvements in infrastructure reliability and delivery metrics, such as deployment frequency, MTTR (Mean Time To Recovery), infrastructure as code (IaC) coverage, and system uptime. - Architectural Stewardship: Provide architectural oversight for bare-metal provisioning, virtualization layers, network fabrics, and storage clusters, ensuring seamless scalability without becoming a bottleneck for your teams. - Cross-Functional Partnership: Coordinate cleanly with product delivery and platform teams to ensure the infrastructure primitives they rely on are robust, well-documented, and highly available. Qualifications - 7+ years leading software, infrastructure, SRE, or networking teams, including managing managers and multiple squads, with a proven record of scaling high-availability cloud environments. - 8+ years building and operating large-scale distributed systems, bare-metal infrastructure, or public/private cloud platforms. - Proven hands-on background or strong architectural understanding of ultra-low latency networking. Deep familiarity with InfiniBand and/or RoCE, spine-leaf architectures, and global WAN routing protocols (BGP). - Experience building, operating, or tuning high-performance distributed storage systems and parallel file systems (e.g., Ceph, Lustre, Weka, NVMe-oF) capable of handling heavy AI/ML I/O loads. - Strong foundation in reliability engineering, infrastructure-as-code (Terraform, Ansible), container orchestration (Kubernetes), and modern observability stacks. - Experience building culture, accountability, and momentum across distributed technical teams. - Clear written and verbal communication, strong stakeholder management, and calm, decisive leadership during high-stakes operational incidents. - Successful completion of a background check. Requirements - Direct experience architecting and operating infrastructure specifically optimized for massive GPU clusters and AI/ML workloads. - Deep understanding of hardware architectures, GPU interconnects (NVLink), and datacenter topology. - Track record of scaling infrastructure teams in hyper-growth startup environments. - Open-source contributions or active recognition within the infrastructure, networking, or Kubernetes communities. Benefits - The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing 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 are remote work first with an inclusive, collaborative teams utilizing Slack as the main form of internal communication. - $1,200 Home Office & Equipment Stipend - We set you up for success from day one with gear and support to create your ideal workspace.