What You’ll Do
Lead the design, implementation, and production operation of foundational cloud-platform services.
Own the technical roadmap for making the platform more distributed, resilient, observable, and operationally efficient.
Ensure the platform operates reliably across a growing multi-datacenter and multi-region fleet, including appropriate handling of partial failures and long-running workflows.
Partner with senior and staff engineers to make sound architectural decisions across distributed services, stateful systems, APIs, schedulers, controllers, and automation.
Define clear contracts and integration patterns between the cloud platform and the compute, networking, fleet, security, and customer-facing systems around it.
Lead and grow a team of senior and staff engineers; hire exceptionally, develop people, maintain a high-performance bar, and address underperformance directly.
Own project planning, prioritization, and delivery aligned with Lambda’s business objectives and customer commitments.
Establish strong engineering practices across design reviews, testing, CI/CD, observability, incident response, and on-call operations.
Collaborate with peer Engineering Managers and cross-functional partners to resolve dependencies and deliver complete customer outcomes.
Improve engineering leverage through automation, effective operating mechanisms, and responsible use of AI-assisted engineering.
Stay current with developments in Kubernetes, cloud-native infrastructure, GPU orchestration, and platform automation, and apply them where they materially improve Lambda’s platform.
You
4+ years of engineering management experience with a demonstrated track record of growing high-performing teams
7+ years of software engineering IC experience, including principal or staff-level ownership of mission-critical distributed systems
8+ years implementing business-critical services in Python or Go, from conception through production
Experience building systems that coordinate across multiple independently-owned infrastructure services (compute, networking, storage) without owning them directly
Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures
Strong track record of owning projects end-to-end: architecture, delivery, operations, and continuous improvement
Excellent cross-functional collaboration - proven ability to drive alignment across infrastructure, platform, and product teams
Nice to Have
Awareness of the evolving bare metal and GPU infrastructure ecosystem - including tools like NVIDIA NiCo (NCX Infra Controller) for DPU-enforced lifecycle automation, BlueField DPU capabilities, and where industry standards for multi-tenant bare metal management are heading
Experience evaluating or adopting vendor infrastructure tooling into an existing platform - performing a full migration, having the judgment to assess fit, risk, and timing
Familiarity with Kubernetes or Slurm - useful context for how this team integrates with Lambda’s cluster orchestration layer, but not required for the role itself
Experience in the AI, ML, or GPU hardware industry
Proven track record designing large-scale cloud IaaS platforms from the ground up
Exposure to IPO readiness, enterprise compliance, or security requirements at scale
Values We’re Looking For
Hands-on when needed: You can get into the details when the team or system needs it without becoming the long-term bottleneck.
High accountability: You take responsibility for delivery and production outcomes and do not tolerate systems remaining unreliable.
Business and customer alignment: You connect technical priorities to the outcomes that matter for Lambda and its customers.
Sound judgment: You make decisions with incomplete information, manage risk, and change direction when the evidence changes.
Systems builder: You create teams, processes, and technical foundations that operate effectively without depending on constant intervention.
Agency with context: You find responsible paths through obstacles without creating unnecessary risk or operating as a cowboy.
Low ego and strong collaboration: You handle disagreement directly, learn when you are wrong, and build productive cross-functional relationships.
Learning through failure: You turn operational and organizational failures into stronger systems and lasting improvements.
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.
