6 часов назад
Engineering Manager (AI Infrastructure)
250 000 - 340 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI Infrastructure) (Kubernetes/GPU infrastructure): Leading a platform engineering team building and operating large-scale, Kubernetes-native GPU infrastructure for AI workloads with an accent on backend systems, networking, reliability, and security. Focus on designing control-plane services and APIs, scaling multi-tenant compute platforms, resolving operational gaps, and combining hands-on engineering with people management.
Location: Hybrid in Palo Alto, California, United States
Salary: $250,000–$340,000 per year, plus equity and a discretionary bonus
Company
is building a vertically integrated AI infrastructure platform spanning capital, GPU compute clusters, and software.
What you will do
- Lead a platform engineering capability team through technical direction, design reviews, code reviews, delivery ownership, and people management.
- Design and build platform layers for compute, storage, control-plane services, APIs, networking, confidential computing, or customer-facing infrastructure.
- Translate product requirements into sequenced technical work, communicate trade-offs, and represent platform engineering in roadmap planning.
- Partner with bring-up and security engineering teams to turn operational issues into scalable features and remediate security findings.
- Own reliability, observability, security, interface, and versioning standards for shipped services.
- Handle complex engineering work directly, run post-mortems, and close structural gaps after incidents.
Requirements
- 5+ years of cloud platform or infrastructure engineering experience, including at least 2 years leading an engineering team.
- Strong production backend or systems programming experience; working languages include Python, Go, and Rust.
- Deep production Kubernetes experience covering cluster operations, CNI networking, scheduling, and workload management.
- Experience with GPU infrastructure, including provisioning, resource allocation, and exposing capacity through a platform or API.
- Strong networking fundamentals, including L2/L3, VLANs, overlay networks, and multi-tenant isolation.
- Experience designing, operating, and versioning production control-plane services and APIs, with security awareness and proven people-management skills.
Nice to have
- AI-assisted development and agent-assisted workflows, including agentic CLI tools, MCP, skills, or APIs.
- Confidential computing technologies such as TEEs, AMD SEV, Intel TDX, or Confidential Containers.
- SaaS or PaaS layers built on IaaS, RDMA, InfiniBand, RoCE, serverless, or inference-serving infrastructure.
- Experience working across distributed teams and time zones.
Culture & Benefits
- Hybrid work environment based in Palo Alto.
- Competitive compensation based on role contribution and experience.
- Equity participation in .
- Retirement or pension contributions, health, wellbeing, and insurance benefits.
- Generous annual vacation allowance and support for work-life balance.
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