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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 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.

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.

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.