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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. Reporting to the CISO, you'll be a key member of the Enterprise Security team responsible for securing Lambda's SaaS applications, corporate IT infrastructure, identity and access management (IAM), and endpoint ecosystems. Your work will focus on establishing secure-by-default configurations, automating access governance, and protecting corporate environments as Lambda scales rapidly. You will directly impact the security posture of our enterprise operations by implementing robust Identity Governance and Administration (IGA), hardening corporate SaaS tools, automating joiner-mover-leaver (JML) workflows, and deploying zero-trust network access controls. Leveraging Lambda's hosted LLMs, you'll pioneer AI-driven enterprise security automation—such as intelligent access reviews, automated policy enforcement, and SaaS risk monitoring. If you're excited about building enterprise security controls that balance strong protection with developer and employee productivity, we want to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Sr. Security Engineer role. Your application is not a waste of our time. What You’ll Do Identity & Access Governance: Design, deploy, and maintain Identity and Access Management (IAM) architectures, SSO/IdP integrations (Okta, Entra ID), and Privileged Access Management (PAM) across corporate and SaaS ecosystems Automate Joiner-Mover-Leaver (JML) workflows and lifecycle management to enforce least-privilege access and zero-trust principles across all internal tooling Build automated access certification and review tooling to streamline compliance and governance controls Implement strong multi-factor authentication (MFA) standards, passwordless solutions, and contextual access policies SaaS Security & Corporate Infrastructure: Establish SaaS Security Posture Management (SSPM) and conduct security posture reviews for corporate SaaS applications (Google Workspace, Slack, GitHub, Jira, Salesforce) Define and enforce baseline security configurations, patch management policies, and MDM/EDR security controls across corporate endpoints (macOS, Windows, Linux) Partner with IT Infrastructure and Operations teams to architect Zero Trust Network Access (ZTNA), VPN/SASE solutions, and secure remote worker access frameworks Automation & Strategic Innovation: Develop custom security automation tools and scripts in Python or Go to eliminate manual IT/Enterprise security toil Pioneer AI-powered enterprise security workflows leveraging Lambda’s hosted LLMs to automate third-party risk analysis, access request approvals, and anomaly detection in corporate logs Assess third-party vendor risks and build automated tooling to evaluate SaaS vendor security postures Governance & Cross-Functional Alignment: Collaborate with IT, Legal, HR, and Compliance teams to ensure corporate systems align with frameworks such as SOC 2, ISO 27001, and HIPAA Establish internal security documentation, end-user security awareness guidelines, and self-service security options for employees Define strategic roadmap initiatives for corporate security, driving measurable security posture improvements across all business units What We Think a Candidate Needs to Demonstrate to Succeed 5+ years of dedicated security engineering experience, with a focus on enterprise security, corporate security, or IAM infrastructure Proven experience designing and scaling Identity & Access Management architectures (e.g., Okta, Entra ID, SAML/OIDC, SCIM, PAM) Hands-on technical expertise in securing corporate SaaS applications and managing SaaS Security Posture Management (SSPM) tools Strong programming and scripting capabilities (Python, Go, or PowerShell) to build automations for identity lifecycles and security operations Solid understanding of Zero Trust architecture, Endpoint Detection & Response (EDR), Mobile Device Management (MDM), and corporate network security Strong communication and stakeholder management skills, with a track record of partnering effectively with IT, Legal, and HR Ability to balance robust enterprise security controls with employee experience and productivity Thrives in fast-moving, high-growth startup environments where building scalable structure is required Nice to Have Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize enterprise security—imagine AI-assisted access reviews, automated SaaS risk assessments, and intelligent policy generation. Experience building enterprise security and IAM programs at high-growth tech companies or cloud providers Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA) and audit preparation Experience implementing Infrastructure as Code (Terraform) for managing enterprise identity and SaaS configurations Deep technical background allowing hands-on contribution when needed Experience with both build and buy decisions for security tooling Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. Our vision is bold and is not an incremental exercise. We will continually re-evaluate and reinvent our current ways of working and the automation underneath all of it, while operating the existing network flawlessly for all customer workloads. Lambda has 10x'd over the last three years, and the network engineering organization is scaling to match. We're looking for a Senior Director of Network Software Services to lead one or more teams building the software that enables Lambda to run a secure, performant and available AI Cloud at massive scale. We're looking for an experienced leader of leaders to own high impact outcomes end to end — and to build the organization that delivers it. You'll hire and grow a talented team of AI enabled software engineers, who will partner deeply with network engineering and product teams to shape team culture, and stay ahead of our scale ambitions. This role will report to the VP of Cloud and AI Networking, working alongside a highly capable and passionate team of engineers. If you'd like to join a great team of customer obsessed engineers building the world's best AI cloud, come join us. What You'll Do Own the networking services that deliver our network monitoring, security, performance, and availability goals Own the architecture and operational excellence of large-scale distributed network systems, control planes, and data paths Own company-level goals: programmatically improving our security posture, observability of network health, internet and backbone traffic engineering capability, and more Set the multi-year technical strategy for network software services so it scales ahead of demand Hire, develop, and retain engineers and the leaders who manage them, and design the team structure as the org grows Manage through leads and senior ICs, developing both — regular 1:1s, clear performance feedback, growth planning, and sponsorship of meaningful work Partner deeply with network engineering, operations, capacity, and product teams to build services that improve the quality of Lambda connectivity Set the operational bar for your org: SLOs, on-call health, incident response, and blameless postmortems that change how we build Contribute to org-wide engineering process improvements — how we plan, how we ship better code, and how we learn from incidents Partner with Principal Engineers and technical leadership to hold a high engineering bar across design, code quality, and operational reliability Represent your org's work and technical direction to senior leadership, and to enterprise customers and partners where appropriate You Have 8+ years building highly available, large-scale distributed systems for cloud infrastructure or enterprise network architecture, including 5+ years leading software engineering teams and 2+ years managing managers Have a software engineering background — you've shipped production systems and can engage credibly on architecture, technical tradeoffs, and code quality Bring deep expertise across networking protocols and data-center/cloud networking (BGP, EVPN/VXLAN, software-defined networking, traffic engineering), zero-trust security, CI/CD automation, and cloud platforms such as AWS or OCI Have a proven track record of building and scaling engineering organizations that deliver mission-critical, high-performance cloud connectivity at scale Foster a data-driven, automation-first, AI-enabled, high-velocity organization Translate ambiguous business and product goals into clear team priorities and executable engineering plans Show strong judgment about when to go deep technically, when to delegate, and when to escalate Have a track record of project and product delivery in fast-paced, high-pressure environments Communicate excellently in writing and in person — you use high-quality written artifacts to drive high-quality decisions and to get alignment on problems and solutions Hold a BS or MS in Computer Science, Electrical Engineering, or a related field, or have equivalent practical experience Nice to Have Experience in GPU cloud, HPC, or AI/ML infrastructure environments Deep familiarity with large-scale data center or cloud networking — fabric build-out, capacity modelling, or network supply chain Familiarity with networking fundamentals and configuration management is highly desirable. Prior experience at a high-growth infrastructure or cloud company Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. We’re hiring a technical practitioner to join Developer Relations and help enterprise teams understand how to deploy production AI workloads on Lambda. You will turn deployment experience and work from Lambda’s technical teams into useful public resources. Your existing following and professional relationships will help that work reach enterprise AI practitioners who do not hear from Lambda today. What You’ll Do Audience and Distribution Grow Lambda’s reach among enterprise AI and infrastructure practitioners. Use your following and professional relationships to introduce Lambda to communities where it has limited presence. Develop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use. Technical Education Create technically sound material about deploying production AI workloads on Lambda. Work with MLE and engineering to turn field patterns into guides, demonstrations, or open-source examples. Teach the same ideas through talks and workshops. Use video when it suits the subject, and adapt strong work for more than one audience. Field Feedback Represent Lambda at conferences and on podcasts. Take part in relevant online communities. Track the problems enterprise teams raise and share useful patterns with Lambda’s technical teams and go-to-market leaders. Use that evidence to help set Developer Relations priorities. You Experience deploying and operating production AI workloads, ideally inside an enterprise. Working knowledge of MLOps and observability, including the reliability and performance work required to keep AI systems running. An understanding of how internal AI infrastructure supports applications and adoption across an organization. A record of writing or speaking clearly about AI deployment or infrastructure. An established following or professional network among enterprise AI and infrastructure practitioners. Experience using collaborations and community relationships to increase the reach of technical work. The ability to work effectively with technical teams as well as marketing and customer-facing groups. Nice to Have Experience with on-premises AI infrastructure or internal AI programs used by dozens of people. Familiarity with Lambda Cloud or 1-Click Clusters. Experience producing technical video, live demonstrations, workshops, or programs with external partners. What success looks like More enterprise AI practitioners know and trust Lambda. Lambda is considered more often for production AI workloads. Your technical work is accurate and useful to teams making deployment decisions. Your following and collaborations give that work wider reach in the communities that matter to Lambda. Feedback from practitioners shapes Developer Relations priorities and gives Lambda’s product teams a clearer view of enterprise deployment needs. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. We’re hiring a technical practitioner to join Developer Relations and help enterprise teams understand how to deploy production AI workloads on Lambda. You will turn deployment experience and work from Lambda’s technical teams into useful public resources. Your existing following and professional relationships will help that work reach enterprise AI practitioners who do not hear from Lambda today. What You’ll Do Audience and Distribution Grow Lambda’s reach among enterprise AI and infrastructure practitioners. Use your following and professional relationships to introduce Lambda to communities where it has limited presence. Develop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use. Technical Education Create technically sound material about deploying production AI workloads on Lambda. Work with MLE and engineering to turn field patterns into guides, demonstrations, or open-source examples. Teach the same ideas through talks and workshops. Use video when it suits the subject, and adapt strong work for more than one audience. Field Feedback Represent Lambda at conferences and on podcasts. Take part in relevant online communities. Track the problems enterprise teams raise and share useful patterns with Lambda’s technical teams and go-to-market leaders. Use that evidence to help set Developer Relations priorities. You Experience deploying and operating production AI workloads, ideally inside an enterprise. Working knowledge of MLOps and observability, including the reliability and performance work required to keep AI systems running. An understanding of how internal AI infrastructure supports applications and adoption across an organization. A record of writing or speaking clearly about AI deployment or infrastructure. An established following or professional network among enterprise AI and infrastructure practitioners. Experience using collaborations and community relationships to increase the reach of technical work. The ability to work effectively with technical teams as well as marketing and customer-facing groups. Nice to Have Experience with on-premises AI infrastructure or internal AI programs used by dozens of people. Familiarity with Lambda Cloud or 1-Click Clusters. Experience producing technical video, live demonstrations, workshops, or programs with external partners. What success looks like More enterprise AI practitioners know and trust Lambda. Lambda is considered more often for production AI workloads. Your technical work is accurate and useful to teams making deployment decisions. Your following and collaborations give that work wider reach in the communities that matter to Lambda. Feedback from practitioners shapes Developer Relations priorities and gives Lambda’s product teams a clearer view of enterprise deployment needs. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. You will be joining a team of highly capable software, hardware and network engineers building one of the largest AI training and inference networks in the world. You'll collaborate with people across Lambda to deliver novel and inventive software solutions that meet the highest standards for safety, security, availability and performance - at the lowest possible cost for our customers. You will experience an inclusive and inventive culture that welcomes bold ideas and empowers you to own them from concept to production. Our vision is bold and is not an incremental exercise. We will continually re-evaluate and reinvent the software services required to build networks at massive scale and the automation underneath all of it, while operating the existing network flawlessly for all customer workloads. This role will report to the VP of Cloud and AI Networking, working alongside a highly capable and passionate team of engineers. If you'd like to join a great team of customer obsessed engineers building the world's best AI cloud, come join us. What You’ll Do Own the multi-year technical strategy for Lambda's networking software roadmap covering tools, software and services supporting backend GPU fabric, frontend networks, backbone, edge and everything in between. Set the technical direction and standards other engineers design, build and operate against. Own high-level technical relationships with enterprise customers, guiding mission-critical projects Influence across teams applying high quality technical judgment Resolve any technical ambiguity that spans organisational boundaries — between network, hardware, platform and product teams Go deep when the hardest problems demand it — into the code, the network, the customer use case. You are hands-on. Drive the technical work end to end: shape the vision, define high- and low-level design, then work alongside the teams delivering it Raise the bar of the engineers around you through mentorship, design review and hiring Operate what you build. You'll take part in day 2 operations and the on-call rotation, because the fastest feedback loop between design and our customer runs through the pager Serve as the senior technical voice with our largest customers on mission-critical projects, and carry what you learn there back into Lambda's roadmap Identify new opportunities to delight our customers, like novel new ways to improve availability or performance or even developing new products. You 8+ years in relevant domains like cloud computing, systems engineering, and large-scale network infrastructure Experience of design, build and operation of production large scale Data Center or Cloud networks Experience building distributed network systems and services at scale. Experience of design, build and operation of Tier 1 software defined networking services Have led through implementation and launch of large production-scale software services projects Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system inter-dependencies and limitations. Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Have experience with cloud providers networking (such as AWS, GCP, OCI) Excellent communicator both written and verbal. You leverage high quality written artifacts to inform high quality decision making and get approval on problems and solution opportunities Nice to Have Knowledge of HPC/AI networking: RoCEv2 and/or InfiniBand (congestion control, virtual lanes, partitions), GPUDirect RDMA, and the behaviour of collective communication at scale Experience with the network characteristics of large distributed training workloads Experience with software defined networking Familiarity with network monitoring and telemetry General awareness and ability to go deep in datacenter, backbone, internet protocols and technology Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. You will be joining a team of highly capable software, hardware and network engineers building one of the largest AI training and inference networks in the world. You'll collaborate with people across Lambda to deliver novel and inventive software solutions that meet the highest standards for safety, security, availability and performance - at the lowest possible cost for our customers. You will experience an inclusive and inventive culture that welcomes bold ideas and empowers you to own them from concept to production. Our vision is bold and is not an incremental exercise. We will continually re-evaluate and reinvent the software services required to build networks at massive scale and the automation underneath all of it, while operating the existing network flawlessly for all customer workloads. This role will report to the VP of Cloud and AI Networking, working alongside a highly capable and passionate team of engineers. If you'd like to join a great team of customer obsessed engineers building the world's best AI cloud, come join us. What You’ll Do Own the multi-year technical strategy for Lambda's networking software roadmap covering tools, software and services supporting backend GPU fabric, frontend networks, backbone, edge and everything in between. Set the technical direction and standards other engineers design, build and operate against. Own high-level technical relationships with enterprise customers, guiding mission-critical projects Influence across teams applying high quality technical judgment Resolve any technical ambiguity that spans organisational boundaries — between network, hardware, platform and product teams Go deep when the hardest problems demand it — into the code, the network, the customer use case. You are hands-on. Drive the technical work end to end: shape the vision, define high- and low-level design, then work alongside the teams delivering it Raise the bar of the engineers around you through mentorship, design review and hiring Operate what you build. You'll take part in day 2 operations and the on-call rotation, because the fastest feedback loop between design and our customer runs through the pager Serve as the senior technical voice with our largest customers on mission-critical projects, and carry what you learn there back into Lambda's roadmap Identify new opportunities to delight our customers, like novel new ways to improve availability or performance or even developing new products. You 8+ years in relevant domains like cloud computing, systems engineering, and large-scale network infrastructure Experience of design, build and operation of production large scale Data Center or Cloud networks Experience building distributed network systems and services at scale. Experience of design, build and operation of Tier 1 software defined networking services Have led through implementation and launch of large production-scale software services projects Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system inter-dependencies and limitations. Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Have experience with cloud providers networking (such as AWS, GCP, OCI) Excellent communicator both written and verbal. You leverage high quality written artifacts to inform high quality decision making and get approval on problems and solution opportunities Nice to Have Knowledge of HPC/AI networking: RoCEv2 and/or InfiniBand (congestion control, virtual lanes, partitions), GPUDirect RDMA, and the behaviour of collective communication at scale Experience with the network characteristics of large distributed training workloads Experience with software defined networking Familiarity with network monitoring and telemetry General awareness and ability to go deep in datacenter, backbone, internet protocols and technology Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Jose Data Centers 5 days; shift work What You'll Do Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured Troubleshoot hardware and software issues in some of the world’s most advanced systems Document data center layout and network topology in DCIM software Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved Work with RMA team to ensure faulty parts are returned and replacements are ordered Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers You Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management Are Fluent in English and Spanish Are someone who pays attention to detail and has the ability to follow instructions Are action-oriented and have a strong willingness to learn Are willing to travel for bring up of new data center locations Nice to Have Experience with troubleshooting server hardware Experience with/or knowledge of network topology Familiarity with ticketing systems like JIRA and Zendesk Experience with Linux administration Experience with working in large-scale distributed data center environments Experience with Supermicro & Nvidia hardware Salary Range Information This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Compute Software Engineering role plays a key part in the foundation of both the Public and Private Cloud offerings by enabling Bare-Metal and Virtual Machine provisioning. In this role you will: Develop and integrate workflows for compute instance lifecycle, system health, host and cluster validation, and contribute to and evolve the internal platform tooling, and workflows. As part of the Compute Engineering team, this position focuses on improving the bare-metal and VM developer and customer experiences, streamlining the software delivery lifecycle, building, testing, and shipping software efficiently and reliably. The position works closely with various engineering teams across the company and contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable. What You’ll Do We are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads. In this role you will be responsible for: Design, develop and maintain software for GPU/CPU compute infrastructure with focus on performance, scalability, and reliability. Implement and develop services for baremetal and VM instancing. Develop distributed systems for managing and orchestrating compute resources across various SKU’s. Troubleshoot and debug complex issues in a production and development environment. On-call and incident ownership Collaboration across multiple teams and drive ambiguity in requirements or solutions on RFC’s. You 5+ years of experience working with Go (Golang) or Python in production environments. 5+ years of experience with bare metal & virtualization hardware management and configuration. Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers. Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams. Nice to Have Familiarity with GPU Infrastructure or high-performance computing environments. Experience with Slurm or Kubernetes-based cluster management. Experience with core public cloud internals (Virtualization, KVM, QEMU, Security and Fleet health) Experience with durable execution platforms like Temporal. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.