Jobs at Lambda

Coordinate high-volume interviews and debriefs, primarily for Engineering candidates, while providing a polished candidate experience. Manage candidate communications, complex scheduling, onsite interview logistics, recruiter and hiring-team coordination, ATS data accuracy, and process improvements. The role requires strong organization, responsiveness, discretion, and proficiency with ATS platforms and GSuite. This position is based in San Francisco and requires office presence four days per week.

Own complex public cloud programs from planning through rollout, coordinating engineering, infrastructure, SRE, security, product, and support teams. Translate product and engineering priorities into execution plans, manage dependencies and risks, coordinate launches across cloud services, establish delivery cadences, and define launch success metrics. The role requires strong cloud infrastructure, distributed systems, GPU, machine learning platform, and Kubernetes knowledge, along with the ability to influence cross-functional teams without direct authority.

Own product security for Lambda’s AI cloud infrastructure, including threat modeling, design reviews, multi-tenant isolation, code and infrastructure-as-code vulnerability remediation, security tooling, vulnerability management, enterprise security reviews, and secure engineering patterns. Partner across product engineering, data center operations, detection and response, and GRC while mentoring engineers and building Python or Go automation.

Partners with Supply Chain, Strategic Sourcing, Accounting, Treasury, and FP&A to forecast equipment capital spending, supplier commitments, depreciation, inventory exposure, and cash requirements. Analyzes supplier economics, purchase commitments, working capital, and deployment timing for GPUs, servers, networking, storage, and spares. Maintains financial models and reporting, reconciles procurement and financial data, supports planning and investment decisions, and improves forecasting workflows and data quality using enterprise planning and analytics tools.

Lead detection engineering, threat hunting, digital forensics, incident response, and security automation across cloud, bare-metal, and AI infrastructure. Build detection rules, response playbooks, SOAR pipelines, and AI-powered investigation workflows; conduct complex incident investigations, harden systems, improve telemetry, participate in on-call operations, perform post-incident reviews, and mentor security engineers.

Design, build, and operate software automating network lifecycle management for AI data centers. Develop zero-touch provisioning, configuration-as-code pipelines, capacity planning tools, APIs, CLIs, and integrations with inventory and IPAM systems. Improve reliability through observability, testing, staged rollouts, and safe rollback. Partner with network and data center teams, convert manual processes into self-service automation, participate in on-call support, lead technical projects, and mentor engineers.

Leads contracting, commercial negotiations, claims, supplier onboarding, and supply chain compliance for large construction and equipment programs. Establishes contract standards, templates, approval processes, obligation tracking, audit controls, reporting, and procurement training. Partners with Legal, Finance, Construction, Sourcing, suppliers, and executives to manage commercial risk, resolve disputes, maintain compliance, and improve contracting and procurement efficiency across multiple sites.

Own the finance evaluation of datacenter sites, major customer deals, hardware purchases, and other capital commitments. Build repeatable frameworks for assessing returns, risks, assumptions, unit economics, and pricing. Partner with operations, supply chain, capital markets, sales, engineering, and leadership to frame trade-offs and present recommendations. This senior individual contributor will also improve strategic finance processes using AI tools and support adjacent business needs.

Leads a team developing and operating foundational cloud platform services for Lambda’s multi-region GPU infrastructure. Responsibilities include Kubernetes platform evolution, distributed systems architecture, reliability, observability, automation, incident response, technical roadmap ownership, project delivery, hiring, and team development. The role partners across compute, networking, storage, security, and customer-facing teams to deliver resilient cloud products.

Manages daily San Jose office operations, including visitor reception, conference rooms, supplies, mail, shipping, vendors, lunch services, facilities issues, safety protocols, and workplace events. Partners with IT, HR, Legal, FP&A, and executive assistants to support employees and maintain a productive workplace. This fully onsite role also assists with occasional San Francisco office events and coverage.

Serve as primary employment law counsel to People teams and business leaders across U.S. and international operations. Advise on employee lifecycle matters, wage and hour compliance, hiring agreements, investigations, disputes, policies, compensation programs, global expansion, and employment aspects of transactions. Manage outside counsel and EOR/PEO relationships, support international entities, deliver training, and build scalable employment processes for a rapidly growing technology company.

Own the architecture, implementation, migration, operation, and security of Lambda’s Workday integration landscape. Build inbound and outbound integrations for HR, payroll, benefits, finance, identity, analytics, and global systems. Lead the Rippling-to-Workday migration, data conversion, monitoring, reconciliation, compliance controls, release testing, documentation, and partner oversight. Serve as the technical integration lead while mentoring analysts and collaborating with People, Finance, Payroll, IT, Security, and Engineering.

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.

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.

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.

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.

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.

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.

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.

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.