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/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You'll Do
Operate and scale Lambda’s multi-tenant cloud networking platform and SDN infrastructure
Operate and improve Kubernetes-based control plane services and dataplane software running on SmartNICs
Develop tooling and automation to reduce operational toil and improve reliability
Collaborate with software, platform, and networking teams to improve service reliability and deployment workflows
Deploy and maintain network monitoring, observability, and management tools
Improve deployment safety through CI/CD pipelines, GitOps workflows, testing, and progressive rollouts
Drive operational excellence through observability, incident management, capacity planning, postmortems, and participation in the on-call rotation
You
Have 5+ years of experience in Site Reliability Engineering, Production Engineering, or a similar role
Have experience operating and supporting large-scale distributed systems in production
Have experience with Kubernetes application lifecycle management, upgrades, troubleshooting, and production operations
Have experience participating in on-call rotations and incident response
Have strong troubleshooting skills across Linux systems, Kubernetes, distributed systems, and networking
Have experience with observability platforms, monitoring, alerting, and metrics
Are comfortable working on the Linux command line and have a solid understanding of the Linux networking stack
Have experience with multi-datacenter and hybrid cloud environments
Have experience automating infrastructure and operational workflows using Python, Ansible, or similar tools
Have experience designing and operating CI/CD and GitOps deployment workflows
Nice To Have
Experience building and operating Software Defined Networks (SDN), including OpenStack Neutron, OVN, and OVS
Experience operating production-scale SDNs in a cloud environment (e.g., infrastructure powering AWS VPC-like networking services)
Software development experience in Go and/or Python (C is a plus)
Experience automating infrastructure and network configuration using Kubernetes, Helm, Terraform, and Ansible
Deep understanding of the Linux networking stack and its interaction with network virtualization technologies, SR-IOV, and DPDK
Understanding of the SDN ecosystem and modern cloud networking architectures
Experience diagnosing complex production issues across infrastructure, networking, and application layers
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.
Skills Required
- 5+ years of experience in Site Reliability Engineering, Production Engineering, or a similar role
- Experience operating and supporting large-scale distributed systems in production
- Experience with Kubernetes application lifecycle management, upgrades, troubleshooting, and production operations
- Experience participating in on-call rotations and incident response
- Strong troubleshooting skills across Linux systems, Kubernetes, distributed systems, and networking
- Experience with observability platforms, monitoring, alerting, and metrics
- Comfortable working on the Linux command line and solid understanding of the Linux networking stack
- Experience with multi-datacenter and hybrid cloud environments
- Experience automating infrastructure and operational workflows using Python, Ansible, or similar tools
- Experience designing and operating CI/CD and GitOps deployment workflows
- Must be present in San Francisco/San Jose/Bellevue office 4 days per week
- Experience building and operating Software Defined Networks (SDN), including OpenStack Neutron, OVN, and OVS
- Experience operating production-scale SDNs in a cloud environment
- Software development experience in Go and/or Python (C is a plus)
- Experience automating infrastructure and network configuration using Kubernetes, Helm, Terraform, and Ansible
- Deep understanding of the Linux networking stack and its interaction with network virtualization technologies, SR-IOV, and DPDK
- Understanding of the SDN ecosystem and modern cloud networking architectures
- Experience diagnosing complex production issues across infrastructure, networking, and application layers
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
