Lambda

HQ
San Francisco
Total Offices: 3
750 Total Employees
Year Founded: 2012

Jobs at Lambda

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Recently posted jobs

4 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Supports investor relations through financial research, market and competitor analysis, earnings materials, investor communications, executive briefings, dashboards, event coordination, and database maintenance. The role requires analyzing financial information, preparing presentations, tracking investor activity, and supporting capital raises, earnings processes, and potential IPO activities while working closely with senior leadership and external stakeholders.
14 Hours AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own Lambda’s customer-facing cloud console as a unified product across GPU, storage, networking, Kubernetes, billing, and support services. Define navigation, identity, permissions, resource patterns, design standards, and API consistency; prioritize the roadmap; partner with engineering, design, and service teams; establish review processes; improve onboarding and expert workflows; and measure product outcomes. The role requires creating foundational standards and a strong front-end partnership for a growing AI cloud platform.
20 Hours AgoSaved
Hybrid
San Jose, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead and scale Lambda’s accounting organization, overseeing accounting operations, close processes, revenue recognition, fixed assets, leases, internal controls, SOX compliance, audits, and ERP optimization. Build and mentor a high-performing team, strengthen accounting policies and systems, and partner with executive and cross-functional leaders on complex accounting matters. The role requires public-company standards experience and deep US GAAP expertise in a rapidly growing AI infrastructure business.
20 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead or Staff Full-Stack Software Engineer responsible for building and operating Lambda’s customer-facing cloud console across React and TypeScript frontend, APIs, and backend services. The role owns complex initiatives involving compute, networking, identity, billing, usage, and enterprise workflows; establishes scalable architecture; partners with Product and Design; improves reliability, accessibility, observability, and developer velocity; and mentors engineers. The position requires strong product judgment, distributed-systems expertise, cross-team leadership, and production ownership.
YesterdaySaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead Lambda’s global tax strategy, compliance, ASC 740 provision, tax controversy, international expansion, transaction structuring, and tax systems. Advise executive leadership on tax risks and opportunities, oversee outsourced compliance and external advisers, establish scalable controls, and integrate tax into financing, infrastructure, data center, procurement, and legal entity decisions. Build and develop a lean tax team while personally managing complex, high-risk matters in a rapidly growing, internationally expanding technology company.
6 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Designs physical and optical connectivity for data centers, backbone routes, points of presence, and customer interconnects. Translates capacity, latency, resilience, and customer requirements into infrastructure designs, evaluates carrier and supplier options, validates route diversity, and develops design packages for engineering approval. Partners with carriers, equipment vendors, supply chain, site selection, and delivery teams to resolve constraints, manage risks, and bring network infrastructure into service.
6 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Supports network service delivery by submitting cross-connect and disconnection orders, tracking carrier and facility requests, coordinating data center access, assisting with circuit turn-up and testing, and maintaining accurate network records. The role also organizes documentation, coordinates handoffs to operations and supply chain, and contributes scripting or workflow improvements. It is designed for an early-career candidate developing expertise in fiber, optics, carrier provisioning, and physical network infrastructure.
7 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design and build scalable Kubernetes control-plane services, operators, controllers, and cluster lifecycle automation for AI workloads. Develop GPU-aware scheduling, inference platform services, autoscaling, internal deployment tools, and resilient distributed systems. Collaborate on high-performance networking, storage, and compute infrastructure, troubleshoot production issues during on-call rotations, and contribute to managed Kubernetes and Slurm-based platforms.
7 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own the compute product strategy for GPU and CPU infrastructure, including instance offerings, capacity, provisioning, placement, reliability, performance isolation, pricing, and commitments. Partner with engineering and cross-functional teams to define requirements, prioritize work, launch infrastructure capabilities, and measure customer adoption and utilization. The role requires deep cloud compute experience, customer insight, commercial judgment, and ownership of operational behavior after launch.
8 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own Lambda’s strategic NVIDIA technology partnership from the product side. Track NVIDIA hardware and software roadmaps, decide which technologies to adopt, turn adoption decisions into customer products, and manage joint engineering programs. Serve as the primary relationship owner, define requirements and acceptance criteria, coordinate cross-functional product and engineering teams, and measure adoption outcomes. The role requires strong GPU, infrastructure, systems, partnership, judgment, communication, and execution experience.
8 Days AgoSaved
Remote or Hybrid
Office, Machaze, Manica, MOZ
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own the storage and networking product strategy for Lambda’s AI cloud. Prioritize capabilities, define requirements, pricing, packaging, and metering; collaborate with engineering through delivery; launch infrastructure products; and measure adoption and workload performance. The role spans customer data storage, data movement, virtual networking, connectivity, load balancing, egress, tenant isolation, and high-performance networking for distributed AI training and inference.
8 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead security architecture for Lambda’s AI cloud infrastructure, focusing on data protection, platform security, encryption, key management, DLP, confidential computing, zero-trust access, tenant isolation, and Kubernetes or GPU platform hardening. The role includes threat modeling, security design reviews, Python or Go prototyping, AI-enabled security automation, vendor risk assessment, technical documentation, cross-functional roadmap alignment, and mentoring engineering teams.
8 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own demand and supply planning for Lambda’s data center hardware, including forecasts, build plans, capacity alignment, inventory targets, S&OP, risk mitigation, and deployment schedules. Partner with suppliers, manufacturers, engineering, finance, logistics, and go-to-market teams to resolve constraints and communicate trade-offs. Build planning processes, metrics, data foundations, and tools for a new function supporting complex, long-lead-time hardware and rapid infrastructure growth.
9 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design, build, and operate Lambda's software-defined networking platform: implement SDN control-plane services, automation, monitoring, and high-availability features across multi-data-center and hybrid cloud environments. Contribute to tooling, observability, incident response, and on-call rotations.
9 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Owns the accuracy, organization, consistency, and usability of employee-facing content, including onboarding guides, FAQs, policies, websites, and how-to resources. Responsibilities include auditing and editing content, establishing style standards, improving discoverability, fixing content processes, tracking engagement metrics, and coordinating with HR and Talent. The role combines content writing, information organization, measurement, and program coordination within the Employee Engagement team.
15 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead and execute brand design projects across marketing, product, internal initiatives, web, print, presentations, motion, and events. Shape Lambda’s visual identity, develop scalable design processes and systems, collaborate with technical and non-technical stakeholders, and manage multiple projects. The role requires strong expertise in typography, visual composition, UI/UX, motion, prototyping, brand development, and design tools, with an emphasis on rapid iteration and data-informed creative decisions.
17 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own and evolve the cloud foundation supporting AWS accounts, IAM, networking, DNS, governance, and Terraform execution. Build self-service infrastructure controls, automate compliance and access management, establish scalable platform patterns, and improve cost visibility. Partner with Security, GRC, IT, and engineering teams while operating reliable, observable systems and participating in on-call support.
17 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own Workday Payroll, Time Tracking, and Absence implementation, configuration, testing, integrations, compliance controls, and ongoing operations. Configure US and Canadian payroll, support international payroll providers, manage payroll integrations and reconciliations, partner with Payroll Operations and Accounting, oversee releases, develop documentation and training, and investigate payroll discrepancies. The role requires deep Workday expertise, global payroll knowledge, SOX controls experience, and hands-on implementation leadership.
20 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead quarterly and annual tax provision under ASC 740, manage tax accounting close processes, oversee domestic and international filings, support tax credits and Section 174/382 analyses, forecast income and cash taxes, manage audits, and assist with transfer pricing and tax planning. Collaborate across the business to improve tax systems, processes, and reporting.
21 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead the technical vision and development of Lambda’s managed Kubernetes platform for AI workloads on bare metal. Design GPU-aware orchestration, multi-tenant control planes, networking, storage, inference services, Slurm integration, self-healing automation, and resilient managed services. Provide cross-functional infrastructure leadership, mentor engineers, drive technical standards, lead chaos engineering, and collaborate with customers, NVIDIA, and open-source communities.